How to Become a Medical Writer: A Comprehensive Guide Posted on August 7, 2024November 7, 2024 by Andrii Nikulin If you read this article, you probably dream of getting your foot in the door with medical writing. Or maybe you are an employer eager to add a medical writer to the crew. Regardless of your goal, you must understand that the ready-aim-fire approach will not work in this occupation. You should know what medical writers do, what value they bring, how much they make, who hires them, and how to become one. In this in-depth guide, the Viseven team will help you learn more about the medical writing job and feel more confident while testing the waters in a new field. But before we begin, let’s define medical writing. What Is Medical Writing? Medical writing refers to creating healthcare-related textual content that aims to improve doctor-patient communication and provide insights on industry topics. Medical writing presupposes compliance with regulatory guidelines and industry requirements regarding structure, content, style, and format. Some types of medical writing include: Grant proposals Abstract for medical journals Advisory board summaries Ads for medical devices and drugs Clinical study reports Healthcare education materials Marketing materials Newspaper articles Healthcare books Necessary Skills and Expertise Medical writers create technical, educational, promotional, and informative healthcare-related content. Since healthcare is heavily regulated, a medical writer must be familiar with industry standards, regulations, and medical concepts. While having a healthcare degree is preferable, it is not mandatory. It is also worth noting that more than a basic understanding of healthcare is needed to excel in this profession. Medical writers must be outstanding communicators, capable of breaking down complex ideas for the public and healthcare professionals in a digestible way. They must create a compelling story to which the audience can relate, especially when crafting ads and marketing materials. Equally important for a medical writer are analytical and research skills. These experts must be able to analyze and synthesize large volumes of evidence-based information to create a coherent, compliant content piece. Since each piece will undergo the approval procedure (for example, the Medical Legal Regulatory (MLR) process), they should be able to work with facts and interpret research findings and statistics without falling prey to biased thinking. Source: Technical Writer HQ Benefits of Having a Medical Writer in Your Team Whether you are an employer or a would-be medical writer, you need to know what these experts bring to the table. Here are some of the key perks: Compliance made easy Medical writers are experienced in writing healthcare content, so they know how to ensure compliance with the industry requirements. For example, in pharma marketing, each content module or assembly must undergo a rigorous MLR process. For the businesses that do not employ a modular approach to content creation, it may take up to 2 months to approve a single content asset. If competent writers are assigned to create the content, the MLR teams will be more likely to approve it on the first attempt. This means savings in costs, time, and improving the quality of writing. High-quality content Medical writers understand the healthcare industry, their audience, and the job to be done better than other writers or marketers. They know how to connect with different types of readers, such as providers, regulatory authorities, patients, and caregivers. They also have the skills to write easy-to-read, engaging, and ethical healthcare materials. All their claims are well-researched and supported by data. Standardization One aspect often overlooked is content consistency. Medical writers ensure standardization across materials. This allows pharmaceutical companies to maintain their brand voice and facilitates information sharing. Since content quality and messaging remain consistent, reviewing and comparing different materials is more effortless. Who Hires These Specialists? Many aspiring medical writers falsely believe they should market their services only to pharmaceutical and medical device companies. This biased assumption greatly impacts their career progress. While pharmaceutical companies need medical writing services, they do not usually hire these specialists directly. Pharma companies often turn to medical education companies and medical communication agencies for medical writing. These vendors offer complete services, from project briefing to website development, making them time-efficient and convenient for life sciences businesses. It is not uncommon for MarTech companies operating in pharma to hire medical writers. For example, Viseven’s Digital Content Factory (DCF) provides interactive content development for life sciences brands, including those in the Top 50. Our team has been delivering medical writing and marketing services for over 15 years. Connect with these companies on LinkedIn or find their websites to check medical writing job openings. Depending on your goals and preferences, you may apply for in-house positions or seek freelance opportunities. How Much Do Medical Writers Earn? Medical writers’ salaries heavily depend on their skills, experience, and location. Salaries can vary significantly in the United States, even from state to state. According to Glassdoor, a medical writer makes an average of $86,556 per year. Meanwhile, Salary.com gives a somewhat lower figure of $70,784. This website allows you to determine the salary based on years of experience, location, reporting structure, and performance level. How to Become a Medical Writer Here are some time-tested pieces of advice to become a medical writer: Find a good mentor Finding a mentor is one of the most effective strategies for beginning your career path. However, you must be ready to soak up new knowledge and not be afraid to ask questions. You may encounter two types of writers when searching for a mentor. The first group consists of writers with a medical degree and extensive experience in healthcare, but their writing skills may be average. Life sciences brands often employ these writers if they have medical editors on their teams. Another type of mentor is a medical writer with adequate medical knowledge and exceptional writing skills. Their work typically requires minimal editing and is approved from the first draft, saving companies time and money. The choice of mentor depends on your preferences and available resources. Yet, it is preferable to find a mentor who can teach you both medical science and the art of writing, thereby making you a more competitive expert in the market. Build a diverse portfolio Your work speaks for itself, and a well-crafted portfolio is a must when you start your path as a medical writer. You might say, “But wait, how can I build my portfolio if I do not have anything published?”. One mistake that novices make is to wait for publications in authoritative medical journals to begin composing your portfolio. Your prospective employers would like to see examples of your work to check whether you are a good fit for them. They also tend to prefer writers who can produce content for diverse audiences. Therefore, it is always a good idea to include, for example, patient handouts along with healthcare magazine articles. This would prevent you from pigeonholing yourself to one niche only and make you appear more valuable in the employers’ eyes. Network, network, and network Whether you plan to become a freelancer or an in-house employee, it is crucial to connect with the community to break into the field. Building a network of contacts, both locally and internationally, is increasingly important. One option to consider is joining the American Medical Writers Association (AMWA), an international association of specialists in biomedical communications. This will give you access to industry expert-led courses, scientific workshops, and mentoring opportunities. Most importantly, you can form valuable professional relationships, learning from other writers’ mistakes and success stories. Also, let’s not forget about virtual communication. Adding contacts on LinkedIn will help expand your network. You might also want to add employees and corporate pages of companies you want to work for. Become more tech-savvy Technical literacy will help you produce content quickly and with minimal to no revision requests from your employer or client. As a medical writer, you must be proficient in software such as Microsoft Office Word, Excel, PowerPoint, and Adobe Acrobat. The latter program is essential when creating marketing materials. To get content approved by MLR, you need to reference all your claims by mentioning the exact author, page, and paragraph number and highlight the sentences you are referring to. As most documents come in a PDF format, Adobe Acrobat is helpful for this task. Learning new tech skills also helps professionals stay abreast of industry trends. For example, medical writers at Viseven can leverage our advanced content experience platform, eWizard, to plan, brief, modularize, analyze, and distribute content. The knowledge of the AI-driven solution helps them speed up their content creation process, accelerate MLR approval, and tailor messages to their audiences. Spend money to earn money Medical writing is a highly dynamic field, so it is crucial to stay updated on the latest innovations, guidelines, and healthcare regulations. As stated by Cynthia Kryder in the book ‘The Accidental Medical Writer,’ you have to spend money to make money. There is no specific degree in medical writing, but you can always find plenty of self-education opportunities. Many organizations provide training sessions for newly hired medical writers. In these courses, new employees learn about various types of regulatory documents, in-house templates, style guides, the drug development process, and more. These organizations may pair new employees with senior medical writers who act as mentors. Alternatively, consider enrolling in short courses offered by professional entities. These sessions typically last up to three days and focus on specific topics (drug safety, medical writing for newspapers, ethical standards, and more). Upon completion, you will receive heaps of condensed, valuable information shared by experienced industry professionals. It is also vital to read high-quality content produced by other medical writers. You do not have to consume every content piece under the sun, but you should familiarize yourself with different writing styles to find your own voice. Identify the types of content you would like to create and read as much as possible. For example, if you want to write for healthcare journals and newspapers, explore the most prominent ones on the market. Gain medical science knowledge More than basic healthcare knowledge is required when starting a career in medical writing. It is vital to have professional literature at your fingertips. Essential resources include a nursing procedure book, physician desk reference, and medical dictionary. The Control of Communicable Diseases Manual can help you understand disease biology. There is also a wealth of evidence-based information available on the Internet. One of the most reputable databases is PubMed, which contains millions of healthcare manuscripts dating back to the 1950s. Meanwhile, do not use online encyclopedias and blogs, which people without a healthcare degree write and edit. You should be able to differentiate fact-based materials and personal opinions to provide high-quality medical content. Final Words Medical writing brings together the art of writing and the science of medicine. Life sciences brands rely on medical writers to engage, educate, and establish long-term relationships with their audience. Viseven is a future-inspired MarTech company that collaborates with medical writers specializing in various therapeutic areas, from endocrinology to rare diseases. Our experts work with marketing specialists and medical advisors to produce high-quality, compliant, and impactful content. Our team includes medical doctors who grasp the legal aspects of promoting different types of drugs and ensure that your content complies with regulations and cultural nuances. If you are interested in our medical writing and content creation services do not hesitate to drop us a line.
Pharma CRM: A Comprehensive Guide Posted on August 1, 2024November 11, 2024 by Andrii Nikulin In the pharmaceutical industry, customer relationship management is not just nice-to-have — it’s a fundamental necessity. Pharma is changing fast. New business models, complex regulations, and advanced technologies are pushing drug companies to work harder than ever to stay competitive. On top of that, the global pharmaceutical market has grown plenty in recent years, reaching an estimated $1.6 trillion in 2023. This is an increase of more than $100 billion compared to 2022. Source: Revenue of the worldwide pharmaceutical market from 2001 to 2023, Statista Just like in other industries, effective marketing and sales strategies in pharma rely on understanding and managing relationships with your clients. At the same time, the internet has made it easier for patients and doctors to find information about medicines, giving them more power to choose what works best for them. Because of these changes, pharmaceutical companies are rethinking how they do business. Instead of just focusing on making different drugs, they’re now trying to understand their customers better. And you can’t do it well with spreadsheets and manual data tracking. That’s where CRM software comes in to help pharma companies maintain and enhance these relationships. So let us see what makes this technology so indispensable in the sector nowadays. What is Pharmaceutical CRM? CRM, or customer relationship management software helps you manage relationships and interactions with your customers or prospects, track sales activities, and optimize marketing strategies. Often this software offers features like data analytics, personalized engagement tools, compliance management capabilities, and more. Pharma CRM software enables companies to build better relationships and enhance engagement with customers, improve sales effectiveness, and overall drive business growth. Main Advantages of CRM in the Pharma Industry Current market research shows steady growth in the global pharmaceutical CRM market, confirming the increasing adoption of the solution. In 2023, the market size was valued at $4,156 million, reaching $4,356 million in 2024. Experts predict this growth will continue. They expect the market to grow by 4.8% each year from 2024 to 2033. By 2033, they think it will reach $6,643 million. The rising adoption of these systems can be attributed to several key benefits they offer to the pharmaceutical industry. Better data management and analytics The first big benefit of pharma CRM systems is that they serve as a centralized repository for all customer-related data, consolidating information and interactions that previously were scattered across multiple departments and systems. This centralization is advanced even further by the CRM’s ability to integrate data from different sources, like sales, marketing, research, and even external databases, providing a comprehensive view of each customer and the market as a whole. Moreover, the real-time nature of data updates in a CRM solution ensures that information remains current and accessible. Sales representatives can input data during or immediately after their interactions with healthcare professionals, keeping everyone at the company informed and on the same page. With this wealth of consolidated data, pharmaceutical companies can utilize analytics tools to gain impactful insights, from predicting future market trends to analyzing products’ performance across various regions. This empowers companies to focus on relevant metrics and make data-driven decisions. In-depth view of a customer lifecycle journey Another key benefit of pharma CRM software is the ability to track customer lifecycle journeys, allowing pharmaceutical companies to see and study the entire process of converting potential leads into loyal customers. This feature offers complete visibility of each HCP’s journey, from initial contact to becoming a regular prescriber or customer. The system tracks various stages such as awareness, interest, evaluation, trial, adoption, and loyalty for each product or service, allowing for a complete understanding of the customer’s progression. By understanding where each customer is in their journey, you can personalize your communication and marketing strategies accordingly. Advanced workflow automation Most pharma CRM software solutions can automate various sales and marketing activities. The CRM solution can automatically schedule follow-up calls, send reminders for important meetings, and even generate personalized emails to healthcare professionals based on their interactions and preferences. This not only saves time for sales representatives but also ensures consistent and timely communication with customers. Marketing efforts also benefit greatly from automation. The CRM platform can automatically segment customers based on various criteria, allowing for targeted marketing campaigns. It can then track the performance of these campaigns in real time, providing valuable insights for future strategies. Automated reporting tools can generate regular performance summaries, saving hours of manual data compilation and analysis. Key Features of Pharma CRM Software Pharma CRM systems differ from traditional CRM software because of specific industry requirements and regulations. For instance, while standard CRM software focuses on general customer data, the pharmaceutical CRM system needs to be tailored to manage relationships with healthcare professionals, like doctors, nurses, and pharmacists. Hence, these industry-specific systems may often include features for tracking prescribing behavior and influence. Real-time monitoring and insights Getting real-time insights is crucial for any business, as it allows you to make decisions quicker and overall be more agile in your responses to market changes. This feature enables pharmaceutical companies to track and analyze data as it’s being entered or updated, providing visibility into different areas of business. Depending on your vendor, certain CRM platforms can even analyze and report how your audience interacts with your content. At the heart of this feature are live dashboard updates. As data is being entered or changed, your dashboard should update automatically, giving you an instant view of required KPIs. This is valuable both for tracking sales representatives’ activities and results, and for marketing to see the feedback on their campaigns. Closed-loop marketing Closed-loop marketing is a process that uses client feedback and data to continuously enhance marketing efforts, creating a cycle of constant refinement. This detailed information on interactions, preferred channels, and more help sales team personalize their approach to meet the clients’ need and expectations. With a pharmaceutical CRM software both sales and marketing team can access real-time insights which are shared between the teams to guide sales strategies and marketing decisions. Consent management Consent management is a feature that is rarely discussed, existing mainly in pharmaceutical CRM software. This functionality addresses the complex challenge of collecting and managing customers’ consent in the life sciences industry. As pharma companies grow, it becomes increasingly harder to handle consent manually. Not to mention, risky. Therefore, certain pharma CRM systems offer to automate the consent collection process while ensuring compliance with industry regulations. All collected consents are managed in a centralized platform, eliminating the risk of data loss, and allowing to see a full consent history. Sales representatives can send a tailored consent page to customers with checkboxes for different types of personal data. And if a customer refuses to consent, the CRM software immediately disables communications. Visits and route management This special functionality in the pharma CRM system is designed to help out the field sales and service teams optimize their daily schedules and travel routes when meeting with healthcare professionals or visiting pharmacies. The CRM platform uses advanced algorithms to create the best itineraries, taking into account location, priority of clients, and time constraints. It also helps track travel time and distances between appointments and allows for adjusting schedules on the fly when unexpected changes occur Sample management and compliance Pharma businesses can occasionally send samples of their products to healthcare professionals as a part of their promotional activities. All of these activities need to be tracked. The sample management feature does just that. It monitors sample requests, manages inventory levels, records distribution, and captures data on sample usage and feedback. The CRM platform ensures that sample distribution complies with industry regulations, which can vary by country or region. It typically includes features to set limits on the number of samples that can be distributed to a single HCP, track expiration dates, and maintain detailed records of all sample-related activities. Omnichannel communication If you notice that your communication with customers is getting ineffective and slow, it might be time to involve a CRM system that has a multi or omnichannel communication feature. Today, patients and HCPs interact through many channels, from phone calls to Instagram tags. A good CRM platform brings together these diverse customer interactions into one unified platform, ensuring that all customer queries are handled efficiently and no feedback falls through the cracks. With this integration you’ll be able to reach your target audience on their preferred channels, improving customer experience, and it will be much easier for your team to handle communications. In the end, you’ll have consolidated customer data with detailed insights, allowing you to make informed decisions. How to Choose Your Pharma CRM The pharma industry needs CRM software. Emerging regulations and policies, complicated procedures and processes, intense market competition — it’s all too much to handle without adequate technological assistance. Which begs the question — how do you choose the best pharma CRM software for your business? First, it’s vital to understand your immediate goals and strategic objectives. Don’t just go for a CRM system that has the most features, because you might end up paying for functionality that you won’t ever use. Define the KPIs that you want to improve and focus on CRM software that is designed to do just that. Another factor that’s crucial to mention is how a CRM provider helps its clients to migrate to new software. Often, migration is not a walk in the park, it needs to be handled professionally and with an individual approach. Ask your candidate providers about the whole process. Here are some questions that you might want to ask: Are you able to customize the CRM platform to ensure that it integrates with the existing tech stack? Will you provide a dedicated manager to help us handle the migration? Are you helping clients with the import of data? Can the CRM software be customized to our requirements and workflow? Do you have a 24/7 customer support service? Oftentimes, generic CRM solutions will not fit your needs compliance-wise. That’s why it’s best when a CRM platform is specifically designed for the pharmaceutical sector and includes compliance management features. Look for CRM that offers robust customer data management, sales force automation, and marketing campaign tools tailored to the industry. Next, focus on the ability of a CRM platform to support digitizing customer experience. In the modern age, HCPs expect seamless, personalized interactions across various channels. Good CRM software should offer multi-channel engagement functionality, allowing your team to interact with customers through their preferred methods: email, mobile apps, online portals, and more. Look for features that enable personalized content delivery, virtual meeting support, and digital signature capabilities to enhance the overall customer experience. Another crucial aspect to consider is the analytics and reporting capabilities of CRM software. The system should provide real-time insights into customer interactions, sales performance, and market trends. Advanced analytics can help you make data-driven decisions, optimize your marketing strategies, and identify new opportunities. Lastly, consider the vendor’s reputation, client portfolio, case studies, and future development roadmap. Choose a vendor with experience in the pharma industry who understands the unique challenges and requirements of the sector. Look for a provider that offers comprehensive training and ongoing support to ensure your team can fully utilize the CRM’s capabilities. Bottom Line As we’ve stated at the beginning and proved along the way — pharmaceutical CRM isn’t just nice-to-have, it’s an absolute must-have. By leveraging the power of industry-specific CRM, pharma businesses can streamline operations, build strong customer relationships, and stay ahead of the competition. From improving sales force effectiveness to ensuring regulatory compliance, the right CRM solution acts as a catalyst for growth. The industry continues to evolve, and those who embrace and optimize their CRM systems will be best positioned to thrive in the digital age of healthcare.
Health Data Management: Everything You Need to Know Posted on July 17, 2024November 12, 2024 by Andrii Nikulin Over the past decade, biopharmaceutical researchers have made significant progress in discovering innovative drugs. Once-deadly diseases, like melanoma, multiple sclerosis, and malaria, have become more understood and manageable. Despite these breakthroughs, many life sciences companies search for a more comprehensive approach to discovering drugs and predicting which therapies will be effective for which groups of patients. The industry faces challenges in collecting and organizing high-quality, abundant human data that allows researchers to form hypotheses and, by using technology, discover trends and patterns invisible to the human eye. Effective health data management enables pharma to unravel disease biology and advance prevention and treatment. That is why the Viseven team wants to share insights on the importance of health data and best practices for managing it correctly. What Is Health Data? Before we dive into the core aspects of health data management, let’s discuss the key types of health data. Typically, data falls into two main categories: Traditional data includes information gathered through research, healthcare providers (HCPs), healthcare organizations, and public health agencies. Expanded data encompasses socioeconomic, behavioral, environmental, and lifestyle factors. For instance, health data might include information about an individual’s education, wearable sensor readings, or lifestyle habits. Source: Deloitte Combining these types of health data allows pharmaceutical companies to understand a person’s health and genetic profile better, thereby improving the quality of healthcare products and services. What Is Health Data Management? Pharma companies deal with enormous amounts of health data. According to the Deloitte report, the volume of health data rose by 40% between 2010 and 2020 and is predicted to climb even higher by 23% by 2025. Yet an overwhelming 97% of data generated by healthcare facilities stays unused. To shake the dust off the dormant data, companies must learn how to manage it to their advantage. Health data management presupposes systematically collecting and organizing data on a digital platform and preparing it for analysis to support drug research and development while safeguarding privacy. Key examples of health data management include electronic health records (EHRs), health data platforms, and even healthcare providers’ notes scanned into a digital library. Why Does It Matter? Taming large volumes of health data offers numerous benefits. Let’s explore some of them: Accurate differentiation between disease stages By tracking data from healthy individuals, those newly diagnosed, and those who have been living with a condition for some time, researchers can more accurately differentiate between disease stages. This, in turn, helps to better predict the onset of diseases and contributes to a finer understanding of disease progression. Holistic care Collecting and organizing large-scale human data can reveal how different factors, such as nutrition, behavior, or medical devices, can be integrated and sequenced to address specific patient conditions holistically. Moreover, data collected from different health systems ensure a bird-eye view of the patient’s state and a more comprehensive approach to treatment. Improved disease biology understanding High-quality data enables pharmaceutical companies to understand disease biology better and develop hypotheses for conditions that were previously difficult to treat and manage, such as dementia. It also helps meet the specific needs of patients with manageable conditions, like therapy complications. Personalized medicine Data analytics is an indispensable part of effective data management. Thanks to data insights, personalized medicine is no longer science fiction, and the days of trial-and-error medicine are numbered. Typically, HCPs establish a most likely diagnosis and prescribe a medication, often a blockbuster drug, and choose dosage based on the patient’s body weight. If it does not help, they change the dosage or choose another drug if possible. In contrast, personalized medicine enables providers to identify a disease at the outset and determine the right drug and dosage based on the patient’s unique physiology and ability to metabolize drugs. Better research & development process The research and development process can become less challenging and risky. More complete real-life evidence would help generate and validate hypotheses more quickly, accelerating the release of new drugs. Health Data Management Challenges The past decades have been truly transformative for the pharmaceutical industry, shifting from paper-based data organization to digitalization. However, even with most data now digitized, it has become hard to consolidate and manage its ever-growing volume. Here are some of the key challenges the industry faces: Fragmented data Health data can live in various databases and spreadsheets and come in different formats, such as text documents, video, and audio files. This data is often duplicated and collected by hundreds of different HCPs, pharmaceutical companies, insurance bodies, public health agencies, and others. This results in silos within healthcare systems, which hinders artificial intelligence (AI) algorithms from correctly analyzing the data and leads to a “one size fits all” approach to patient treatment. Life sciences brands need a single source of truth to ensure the AI model’s outputs are complete and accurate. Data collection costs From the first challenge, it is clear that consolidating all data onto one platform is crucial. The issue is that the more data you collect, the more expensive the solution becomes. In the context of drug discovery, it may cost up to $27,200 to gather data on a single person. This sum can skyrocket to $27.2 billion with at least one million participants. However, these costs are justified. This platform has the potential to generate around $25 billion annually within 20-25 years, even with slow innovation. Ever-changing data Heraclitus, a Greek philosopher, once said, “Nothing is constant but change,” and we could not agree more, especially when it comes to health data management. Patients undergo treatments, surgeries, and various tests, causing their health states to change and their therapy courses to evolve. They relocate and change their HCPs, and new medical treatments and screening methods are developed, producing volumes of new data. These changes in data necessitate innovative data management methods. Companies need to find effective ways for data standardization to keep it relevant and updated easily over time. Legal compliance As hacker attacks become more frequent, it is crucial for life sciences businesses to focus on legal compliance to improve their data security measures. Evidence shows that last year was particularly bad for healthcare organizations, with a staggering 239% increase in attacks. Unfortunately, it is not just the number of hacker attacks that has skyrocketed; these data breaches are also becoming more serious and costly. Pharmaceutical companies must comply with stringent government regulations, like HIPAA (Health Insurance Portability and Accountability Act) in the United States or GDPR (General Data Protection Regulation) in Europe, to safeguard sensitive data from hackers’ eyes: HIPAA provides a structure to ensure the privacy of patients’ medical records and other protected health information. It outlines how medical data should be used, protected, and disclosed. GDPR treats healthcare data as a type of personal information and offers guidelines for its protection. This regulation sets rules for accessing, editing, and deleting health data and requires healthcare organizations to have legal permission to process it. Notably, the GDPR applies to many industries, not just healthcare. Best Practices for Healthcare Data Management The question now is how to overcome these challenges and fully leverage your health data. Here are some tips to help you on your journey: Prioritize data governance Effective health data management begins with robust governance. This involves overseeing processes, employee conduct, and technology use throughout its lifecycle so that health data remains accurate, secure, and usable. With proper data governance, internal policies are established to govern data collection, usage, and disposal. Equally important is to comply with external standards set by government agencies and industry bodies. However, none of these policies can be effectively implemented without a culture of transparency. Holding the entire organization accountable for maintaining ethical standards and meeting regulatory requirements becomes a task with a caveat when stakeholders are unaware of organizational processes. Transparency is key to maintaining a sense of accountability among employees, continuous improvement, and role understanding. Merge health data management systems Patient care needs to be holistic, meaning all healthcare providers should work together to deliver the best possible outcomes. When data is siloed, professionals are left in the dark about what interventions and therapies their colleagues have already prescribed. Even though each provider’s treatment might make sense on its own, combining different approaches without coordination can harm the patient. It is like they say, “The operation was successful, but the patient died.” You need data interoperability to ensure all efforts are well-coordinated. This means different systems can interact seamlessly and exchange data quickly. As a result, pharmaceutical companies can gather and process large datasets from various platforms, speeding up drug discovery, ensuring patient safety, facilitating clinical trials, and improving the organization’s efficiency. Additionally, efficient data exchange minimizes redundant procedures and processes, leading to substantial cost savings. Therefore, you should also pour resources into interoperable systems that “talk” to each other, regardless of the vendor. Do not forget to deliver proper training for all stakeholders on how to use the technology correctly. It is also crucial to follow data exchange frameworks and regulations to ensure data transmission is fully secure. Ensure data privacy Neglect this aspect of data management, and you risk significant financial trouble and irreparable reputational damage. Unfortunately, your employees remain one of the main weapons in hackers’ hands. This does not necessarily mean your workers are directly causing data leaks, but their negligence and lack of data security education do. Security awareness training enables the organization to make smart decisions when storing and transmitting patient data. Access management is another important consideration in ensuring data security. It is essential to track who accesses which information to prevent your data from leaking into unauthorized hands. Multi-factor authentication is the way to go to protect your data with various validation methods. These include anything from a PIN number, password, facial recognition, or even eye scanning. Data encryption is also one of the most effective ways to minimize the risk of data breaches. Even if hackers gain access to sensitive information, they would not be able to decipher or make sense of it. Industry regulations like HIPAA provide guidelines on implementing encryption methods, but they allow healthcare professionals and other stakeholders to select measures that align with their unique business goals and needs. Facilitate data storage and retrieval Effective data storage and retrieval processes enable life sciences companies to boost operational efficiency, accelerate decision-making, and improve research and development efforts. This allows them to access data quickly and reduce downtime, speeding up clinical trials and the release of drugs to the market. Whether you advocate for moving to the cloud or prefer more traditional on-premises solutions, your storage solution should be secure, scalable, and cost-effective. The next step is to tag all your data for efficient retrieval. For example, we developed a content experience platform, eWizard, which uses AI to break down information into logical chunks and tag them automatically. This helps our clients navigate the vast amounts of data generated during marketing activities more effectively. We also recommend making regular backups to ensure no data sets are lost. eWizard auto-tagging engine Turn raw health data into insights There are three types of data analytics: descriptive, predictive, and prescriptive. Descriptive analytics lets you summarize historical data to identify patterns and trends that would otherwise be lost in the vast sea of information. For example, descriptive analytics lets scientists trace the connection between disease pathology and environmental factors. When it comes to predictive analytics, machine learning can be used to anticipate future outcomes. For instance, researchers can utilize big data to predict the onset of a condition or pandemic. This could be an invaluable advantage, especially after what we have learned from COVID-19. Prescriptive analytics, on the other hand, provides actionable insights to help you make the most effective and rational decisions. For example, with medical data on when and where a disease will occur, pharmaceutical companies can proactively develop and stockpile the right medications. Make sure your employees can easily digest health data and quickly spot patterns and trends. Use clear visualizations like diagrams, charts, or graphs. Interactive dashboards are also great, especially if you want to customize the visuals to different job roles. Final Thoughts Given the complex nature of disease biology, researchers need advanced technology to uncover patterns that explain various conditions. Proper medical data analysis is crucial, but it is also essential to securely store, collect, retrieve, and visualize information. This blog post is designed to provide an overview of the core aspects of healthcare data management to help you start and navigate your own data management journey. Trust the numbers and hands-on expertise. With over 14 years of experience in developing digital solutions for health data management, the Viseven team creates robust native, hybrid, and web apps that automate health data collection and organization, improve health outcomes, and personalize patient care. Our solutions comply with GDPR, HIPAA, and numerous other industry standards. We also pride ourselves on a 95% client satisfaction rate, with 80% of our clients coming from referrals. If you are looking for a reliable service provider, do not hesitate to contact our experts.
Medical Writing in Enhancing Healthcare Communication Posted on July 10, 2024November 11, 2024 by Andrii Nikulin Ever wondered how complex medical jargon gets translated into something we can all understand? The answer is medical writing. It’s like a bridge connecting the intricate world of medical science to everyday healthcare communication. As a specialized field, medical writing encompasses the creation of various documents, from regulatory submission documents to medical journal articles, that convey critical medical knowledge to diverse audiences. In an era where accurate and timely information can critically impact patient outcomes, effective communication in healthcare becomes paramount. Medical writers, thus, serve as key intermediaries between researchers, pharmaceutical companies, and the broader medical community. Today, let’s explore the multifaceted role of medical writing in healthcare communication, delve into how competent medical writers contribute to spreading medical science awareness, and facilitate the approval process for new treatments. Importance of Clear and Accurate Medical Writing Let’s talk about why clear and accurate medical writing is a big deal. Imagine a game of telephone, but instead of funny phrases, we’re passing along critical medical information. Scary thought, right? That’s why medical writers, whether they’re crafting promotional materials for pharmaceutical companies or penning articles for medical journals, need to be spot-on with their words. A single misplaced comma or ambiguous phrase could lead to misunderstandings that put patient safety at risk. It’s not just about using fancy medical terminology, it’s about translating complex medical concepts into language that healthcare professionals and patients alike can grasp. This crucial role explains why the market is projected to grow at a CAGR of 10% from 2024 to 2032, potentially reaching $2.57 billion by 2032. Clear writing can make the difference between a patient following their treatment plan or getting confused and failing. For medical device companies and research organizations, precise technical writing in clinical study reports or efficacy summaries can speed up the approval process for life-saving innovations. So next time you breeze through a well-written healthcare website or easily understand a scientific publication, thank a competent medical writer. They’re the unsung heroes making sure medical knowledge flows smoothly from research data to real-world application, keeping the wheels of health communication turning smoothly. Key Roles of Medical Writing in Healthcare Communication Medical writers are the oil that keeps the engine of healthcare communication running smoothly. Whether it is a patient reading a pamphlet, a researcher poring over a journal article, or a doctor consulting treatment guidelines, all of them are benefiting from the expertise of medical writers. Medical writers make sure that vital medical knowledge doesn’t get lost in translation, playing a crucial role in advancing medical science and improving healthcare for all of us. Enhancing patient education Medical writing plays a vital role in enhancing patient education by bridging the gap between complex medical knowledge and the general public. Skilled medical writers transform technical medical terminology and clinical research data into accessible, easy-to-understand information for patients. These writers create a wide range of educational and promotional materials, like brochures, healthcare websites, and informational leaflets. They work closely with medical practitioners, pharmaceutical companies, and medical device firms to ensure accuracy and relevance. By simplifying medical concepts and describing research results in layman’s terms, medical writers help patients better understand their conditions, treatment options, and preventive measures. For instance, a competent medical writer might develop a patient-friendly guide explaining a new medication’s benefits and potential side effects. They may also create comprehensive healthcare websites that break down complex medical procedures or clinical trial protocols into digestible information for patients. By enhancing patient education through clear, concise, and informative materials, medical writers contribute significantly to improved health communication and patient outcomes. Their work empowers patients with the knowledge they need to make informed decisions about their health, ultimately supporting better overall healthcare delivery. Supporting clinical research As the number of clinical trials has grown significantly over the past two decades, with over half a million studies conducted every year worldwide, the demand for competent medical writers has increased. Medical writing is a cornerstone of clinical research, playing a vital role throughout the entire process. From drafting study protocols and informed consent documents at the outset, to preparing clinical study reports and regulatory submissions upon completion, medical writers are integral to every stage. They assist in documenting ongoing trials, analyzing and presenting research data, and crafting manuscripts for publication in medical journals. Their expertise is crucial in translating complex scientific information into clear, accurate documents for diverse audiences, including regulatory bodies, healthcare professionals, and patients. Medical writers contribute to post-market activities such as pharmacovigilance reporting and developing educational materials. Their work spans pharmaceutical companies, research organizations, and medical device firms, requiring a deep understanding of medical terminology, research methodologies, and regulatory requirements. Increasingly, medical writers are also becoming adept at omnichannel communication, ensuring that their content is effectively distributed across various platforms and mediums to reach target audiences more efficiently. By bridging the gap between scientific data and comprehensible communication, medical writers play an indispensable role in advancing clinical research, facilitating drug approvals, and ultimately improving patient care. Their contributions ensure that the growing number of clinical trials worldwide are properly documented, analyzed, and disseminated, driving forward the progress of medical science. Facilitating regulatory compliance Medical writers help with facilitating regulatory compliance throughout the clinical research process. They prepare essential documents like trial protocols and clinical study reports, ensuring accuracy and consistency across all materials while adhering to current regulatory guidelines. These professionals excel at interpreting complex regulations and translating scientific data into clear, concise language for regulatory review. They implement rigorous quality control measures and work collaboratively with research teams to accurately represent study findings. As regulations evolve, medical writers must adapt quickly, updating documents and processes to maintain compliance. Their expertise in standardization, ethics, and transparency helps streamline the submission process and supports ethical research conduct. By fulfilling these crucial functions, medical writers enable pharmaceutical companies and research organizations to navigate the intricate regulatory landscape effectively, ultimately contributing to the successful development and approval of new treatments. Improving healthcare professional communication Medical writers develop useful tools like clinical guidelines, treatment protocols, and drug information summaries. These help doctors, nurses, and other healthcare workers make informed decisions quickly. By creating consistent, well-written materials, they help ensure that all healthcare professionals follow the same best practices. Furthermore, medical writers continuously produce educational materials for medical journals, helping healthcare workers stay current with the latest developments in their field. Most crucially, they summarize and present research findings in a way that helps healthcare professionals apply the latest evidence to their work. Challenges in Medical Writing Medical writing is a challenging and complex field that requires a unique blend of scientific knowledge, communication skills, and regulatory understanding. Medical writers face numerous obstacles in their profession, including: Rapid evolution of medical research: Staying in touch with the latest medical science and clinical research developments is crucial. Medical writers must continuously update their knowledge to ensure their content reflects the most recent advancements. Regulatory compliance: The life sciences industry requires strict adherence to regulatory guidelines. Medical writers must create regulatory submission documents, clinical study reports, and other materials that comply with technical guidelines set by international committees. Diverse audience expectations: Medical writers must tailor their content for different target audiences, from medical journal editors to patients accessing healthcare websites. Technological adaptation: Medical writers need to keep up with evolving tools and platforms used in medical communications and technical writing. How can medical writers overcome these challenges? At Viseven, our medical writers stay at the cutting edge of medical knowledge by actively participating in conferences and workshops. The writers benefit from mentorship within the company, leveraging the expertise of team members with MD degrees in various specialties and pharmaceutical industry experience. This internal knowledge-sharing, combined with our extensive network of healthcare professionals, provides Viseven’s medical writers with valuable insights and opportunities. Furthermore, our team is proficient in using various omnichannel tools, enabling us to create and distribute content effectively across multiple platforms. This commitment to ongoing education, skill development, and technological advancement ensures that our writers consistently produce high-quality, scientifically accurate, and compliant content across all therapeutic areas, from cardiology to rare diseases, while maximizing reach and engagement through diverse communication channels. Best Practices for Effective Medical Writing Effective medical writing stands on a couple of essential fundamentals that add to its clarity and impact. To create materials that are credible, accurate, and succinct, it’s crucial to master these fundamentals. EMWA even provides a checklist to help medical writers review and improve their work. Maintain clarity and clear structure Clarity is the cornerstone of effective medical writing, a principle emphasized by organizations like the American Medical Writers Association and the International Committee of Medical Journal Editors. Competent medical writers employ plain language, avoid unnecessary jargon, and eliminate ambiguity to ensure their target audience effortlessly understands the intended message. Structuring information logically is another key aspect of effective medical writing. Whether working on clinical trial protocols, sales force training manuals, or healthcare websites, medical writers enhance comprehension and facilitate knowledge retention by organizing content clearly. Utilizing headings and subheadings enables readers to navigate complex documents easily, whether they’re healthcare professionals reviewing clinical research data or patients seeking to understand their treatment options. Think about your audience Medical writers must consider their audience when creating content. For instance, when writing for medical practitioners or producing content for medical journal articles, using specific medical terminology is appropriate. However, when developing health communication materials for patients or the general public, it’s essential to translate complex medical knowledge into layman’s terms to ensure comprehension. Verify and stay consistent In the medical writing profession, accuracy and consistency are of utmost importance. Whether working for pharmaceutical companies, research organizations, or medical device firms, competent medical writers must meticulously verify information and cite credible sources to maintain the highest standards of accuracy. This rigorous approach helps prevent misinformation and ensures the validity of the information presented. Consistency in medical terminology, formatting, and style is equally vital. Adhering to established guidelines promotes uniformity across various materials. This consistency is essential whether writing for healthcare professionals, developing educational medical writing materials, or preparing regulatory submission documents. Final Thoughts As the field of medical science continues to advance, the importance of clear, accurate, and accessible medical writing will only grow. It remains an indispensable tool in ensuring that life-changing medical knowledge reaches those who need it most — from researchers and healthcare professionals to patients and the general public. In this era of information abundance, skilled medical writers will retain their value, translating complex data into knowledge that saves and improves lives. As we’ve explored, the role of medical writers extends far beyond mere translation of technical jargon, they are essential contributors to patient education, clinical research, regulatory compliance, and professional communication among healthcare providers. In this landscape, companies like Viseven play a crucial role in supporting the life sciences industry. Offering a comprehensive suite of medical writing services — from publications and educational content to promotional materials and digital solutions — we can help you with the multifaceted nature of modern medical communication. Moreover, our context experience platform, eWizard, allows pharma marketers to plan, create, modularize, and distribute digital content at scale. Fill out the form below, and we’ll contact you shortly to help you start and navigate your journey.
Healthcare Data Security: Protecting Patient’s Info Posted on June 26, 2024November 11, 2024 by Andrii Nikulin With the rapid digitization of medical records and increasing reliance on electronic systems, the importance of data security in healthcare cannot be overstated. Healthcare organizations are entrusted with vast amounts of highly sensitive information, including medical histories, diagnoses, treatment plans, and personal identifiable data. A single breach or data security issue in healthcare can have devastating consequences, jeopardizing individuals’ privacy and the integrity of clinical decision-making. One of the biggest threats to the security of healthcare data is the potential for unauthorized access by malicious actors or inadvertent mishandling of sensitive information. The latest data from the Office for Civil Rights shows 315 cyber attacks on the medical sector in 2024. Alarmingly, the most prevalent type of data breach has been hacking/IT incidents, highlighting the persistent threat posed by malicious actors exploiting vulnerabilities in healthcare organizations’ digital infrastructure. This underscores the urgent need for robust cybersecurity measures and proactive threat prevention strategies to safeguard patient data and mitigate the consequences of cyber attacks targeting the medical field. Let us figure out what data protection means for healthcare organizations and how you can achieve higher levels of security for sensitive data within the clinical environment. What is Healthcare Data Security? Healthcare data security refers to the measures and practices implemented to protect sensitive patient data, health information, and digital data within healthcare organizations. It encompasses a wide range of safeguards and security protocols aimed at preventing unauthorized access, data breaches, and security incidents that could compromise protected health information. Effective data security requires a comprehensive approach that addresses both technical and administrative aspects. This includes implementing robust data encryption techniques and role-based access control (RBAC) measures to ensure that only authorized users can access sensitive patient data. Additionally, it involves establishing rigorous policies, security management processes, and ongoing security awareness training for healthcare practitioners to cultivate a culture of data protection and privacy. The healthcare sector remains a prime target for cyber attacks, with malicious actors continuously seeking to exploit vulnerabilities and gain unauthorized access to valuable patient health information. Successful data security in healthcare requires a proactive approach to threat prevention, regular risk assessments, and the implementation of strong security measures to protect patient data and safeguard patient safety. By prioritizing data security for healthcare and implementing robust security protocols, healthcare organizations can not only protect sensitive patient information but also maintain data integrity, foster trust, and facilitate secure medical research and healthcare services. What are Related Challenges to Consider? Establishing adequate data security in healthcare is an uphill battle fraught with numerous challenges and risks. The sheer value of healthcare data, encompassing personal details, financial information, and comprehensive medical records, makes it an irresistible target for cybercriminals. This data can be exploited for identity theft, financial fraud, or sold on the dark web, making healthcare organizations high-value targets for sophisticated attacks and complex security breaches. Complexity of the healthcare ecosystem The complexity of the healthcare ecosystem, with its dense network of providers, insurers, and technology vendors, further amplifies vulnerability. Each participant in this interconnected web represents a potential entry point for cyberattacks, and the diverse nature of their systems and cybersecurity preparedness complicates the security landscape. As data flows across this ecosystem, the risk of exposure multiplies, necessitating stringent measures and collaborative cybersecurity strategies. Rapid adoption of digital technologies The rapid adoption of digital technologies, such as electronic health records, telemedicine platforms, and remote patient monitoring tools, expands the attack surface and creates new vulnerabilities. Legacy systems The prevalence of legacy systems in healthcare settings also makes them more susceptible to cyber attacks, as these outdated systems often lack regular security updates and patches to address emerging threats. This increased digital footprint demands robust cybersecurity measures to protect patient data and ensure service continuity. Regulatory compliance Compounding these challenges are stringent regulatory demands, with frameworks like HIPAA, GDPR, and HITECH Act setting baseline standards for data protection and severe penalties for non-compliance. Adhering to these regulations while safeguarding patient privacy and upholding service integrity and availability is a continuous endeavor for healthcare organizations that requires effective compliance management. Role of HIPAA and HITRUST Compliance for Healthcare Organizations HIPAA and HITRUST compliance is paramount for healthcare organizations to ensure robust data security and safeguard sensitive patient data. Here’s an overview of their significance in the context of data security in healthcare. HIPAA HIPAA (Health Insurance Portability and Accountability Act) serves as the cornerstone of healthcare data security in the United States. This federal law establishes the legal foundation for protecting sensitive healthcare data and electronic protected health information. Privacy and Security Rules – HIPAA’s Privacy Rule protects patient health information, while the Security Rule focuses on safeguarding electronic health records (EHRs) and other digital data. Breach notification – Requires healthcare organizations to report data breaches involving protected health information (PHI) to affected patients and relevant authorities. Access controls – Mandates that only authorized people can access sensitive patient information, promoting the principle of role-based access control. Data encryption – Encourages the use of data encryption to secure patient records and health information during storage and transmission. HITRUST HITRUST (Health Information Trust Alliance) plays a pivotal role in enhancing data security and ensuring robust data protection practices across the healthcare sector. At its core, HITRUST offers a comprehensive framework known as the Common Security Framework (CSF), which provides healthcare organizations with a standardized approach to managing security and privacy. This framework incorporates various healthcare regulations, offering a unified solution to address the complex landscape of data security in healthcare. Risk management – Helps healthcare institutions assess and mitigate data security issues in healthcare more effectively. Certification process – Offers a rigorous certification that demonstrates an organization’s commitment to healthcare data protection and information security. Threat prevention – Regularly updated to address evolving cyber attacks and security incidents in the healthcare sector. Third-party assurance – Provides assurance to patients, healthcare workers, and business associates about an organization’s data security practices. Top Healthcare Data Security Best Practices To significantly enhance your data protection efforts and reduce the risk of breaches and other security incidents, consider implementing these nine top healthcare data security best practices. Implement strong access controls: Utilize role-based access to make sure that only authorized users can access sensitive patient data. This includes multi-factor authentication and regular access audits. Develop and maintain security policies: Create clear, detailed security policies and procedures aligned with HIPAA Security Rule requirements. Ensure all healthcare workers are trained on these policies regularly. Encrypt sensitive data: Utilize robust data encryption for both data at rest and in transit. This applies to electronic health records, protected health information, and other sensitive medical data. Conduct regular risk assessments: Perform comprehensive security risk analyses to identify vulnerabilities in your health information technology systems and processes. This helps in proactively addressing potential data security issues in healthcare. Keep systems updated: Regularly update and patch all software, like operating systems, applications, and medical devices to protect against known vulnerabilities and cyber attacks. Train staff on security awareness: Conduct regular training sessions to educate healthcare workers about data security best practices, phishing threats, and the importance of protecting sensitive patient information. Have a robust incident response plan: Develop and regularly test a comprehensive plan for responding to data breaches or other security incidents in compliance with HIPAA breach notification requirements. Carefully manage third-party vendors: Healthcare companies frequently rely on third-party vendors for a variety of services. Ensure that all business associates and third-party vendors adhere to the same rigorous data security standards to maintain the integrity of your healthcare data protection efforts. For instance, our eWizard platform recently enhanced its security with penetration testing. Backup data securely: Regularly backup all critical health data and store backups securely, preferably off-site or in a secure cloud environment, to ensure data integrity and availability in case of a security incident. Healthcare Data Security Insights and Trends Healthcare data security is evolving rapidly in response to technological advancements and emerging threats. Let’s discuss. Switch to electronic records The transition to electronic health records (EHRs) has been a pivotal development in health information technology, dramatically improving the efficiency of patient care. However, this digital transformation has also expanded the attack surface for cybercriminals, making healthcare organizations high-value targets for data breaches. The widespread adoption of EHRs, which surged from 6.6% to 81.2% in the decade leading up to the COVID-19 pandemic, underscores the urgent need for enhanced data security measures to safeguard sensitive patient information. Rising threats Cybersecurity threats in healthcare continue to rise, with phishing attacks emerging as the most prevalent method for compromising data security. The increasing sophistication of these attacks, potentially leveraging artificial intelligence for more convincing phishing campaigns, poses a significant challenge to healthcare institutions. To combat these threats, organizations are turning to AI-powered security solutions for advanced threat detection and real-time incident response, helping to mitigate the risk of healthcare breaches. Unique nature of healthcare data The unique nature of healthcare data adds another layer of complexity to data security challenges. Healthcare organizations handle vast amounts of sensitive patient data, often stored across multiple systems and providers. This diverse and unstructured data, accounting for about 30% of the world’s data volume, creates interoperability issues and multiple points of vulnerability. To address these challenges, emerging technologies like blockchain are being explored to ensure data integrity and prevent unauthorized modifications to protected health information. IoMT security The rise of the Internet of Medical Things (IoMT) is another significant trend impacting healthcare data security. As more medical devices become connected, securing this expanding network becomes crucial for protecting patient safety and privacy. Healthcare organizations must implement robust security measures to safeguard these devices and the sensitive healthcare data they transmit and store. Cloud security As healthcare organizations increasingly migrate to cloud-based solutions, ensuring robust cloud security becomes paramount. Cloud security measures must be implemented to protect electronic protected health information and maintain HIPAA compliance in these distributed environments. Final Remarks The healthcare sector faces unprecedented challenges in data security, driven by technological advancements, evolving cyber threats, and regulatory changes. To address these challenges, healthcare organizations must adopt a multi-faceted approach to data security, leveraging emerging technologies like AI and blockchain, implementing strong access controls and encryption, and fostering a culture of security awareness among healthcare workers. Crucially, this commitment to data security must extend beyond the organization itself to encompass all vendors and collaborators in the healthcare ecosystem. It’s essential that every entity with access to sensitive healthcare data adheres to the same rigorous cybersecurity standards. At Viseven, we exemplify this commitment to healthcare data security. As an ISO-certified company, we regularly train our employees on the latest cybersecurity policies and best practices. Our solutions undergo rigorous testing to ensure they are robust and secure, providing our healthcare clients with the confidence that their sensitive patient data is protected to the highest standards. By staying on top of these trends, implementing comprehensive healthcare data security solutions, and partnering with security-conscious vendors like Viseven, healthcare organizations can better protect sensitive patient information, maintain regulatory compliance, and ensure the integrity and confidentiality of healthcare data in an increasingly digital landscape. This holistic approach to data security in healthcare not only safeguards patient privacy but also fosters trust and enables the safe adoption of innovative health information technologies that can improve patient care and outcomes.
Data-Driven Storytelling in Healthcare Marketing Posted on June 19, 2024November 8, 2024 by Andrii Nikulin With vast amounts of information pouring in from electronic health records, wearable devices, and genetic testing, healthcare organizations are swimming in data. However, raw numbers and statistics alone mean little until they are transformed into compelling stories. Data storytelling allows healthcare marketers to take complex data and craft narratives that resonate with their audiences. By combining insights from data with powerful storytelling techniques, healthcare organizations can help diverse stakeholders better understand the human impact behind the numbers. Effective data storytelling fosters deeper comprehension of critical healthcare issues and inspires actions that ultimately improve patient care. What is Data-Driven Storytelling, and Why Is it Important? Data-driven storytelling is the practice of using data and analytics to create compelling narratives that help communicate insights, trends, and findings in a way that resonates with the audience. It combines the power of data visualization and storytelling techniques to transform complex datasets into engaging and easy-to-understand stories. This approach is increasingly being used in pharma content marketing to effectively communicate the benefits and value propositions of pharmaceutical products and services. In the context of healthcare, effective data storytelling is crucial for fostering understanding among stakeholders. Healthcare data can be vast, complex, and often overwhelming. Storytelling with data helps break down intricate information into digestible pieces, making it easier for healthcare professionals, policymakers, and patients to grasp the significance of the data and its implications. Furthermore, data storytelling empowers decision-makers to base their choices on evidence and insights derived from the data. By presenting data in a compelling and relatable manner, this approach contributes to evidence-based practice and quality improvement efforts in healthcare. It also enhances patient engagement by using storytelling with data examples to educate patients about their health conditions, treatment options, and the importance of adherence to care plans. Well-crafted narratives can help patients better understand their personal health data, leading to increased engagement and better patient outcomes. Data storytelling plays a crucial role in healthcare analytics as well, helping communicate complex analytical findings to diverse audiences. It bridges the gap between raw data and actionable insights, facilitating data-driven decision-making across various healthcare domains. Additionally, data and storytelling can be powerful tools for advocating change in healthcare policies, practices, or resource allocation. By presenting compelling narratives backed by data, healthcare organizations can build a strong case for necessary changes and drive positive transformations. Main Elements of Data-driven Storytelling Data-driven storytelling revolves around three key elements: data, narrative, and visuals. Data The foundation of data storytelling is the data itself. This includes raw data from various sources, such as electronic medical records, clinical trials, patient surveys, wearable devices, and other healthcare data repositories. Effective data storytelling requires careful data collection, cleaning, and analysis to extract meaningful insights and patterns. What is the core message or insight you want to convey? What is the most compelling or surprising finding from the data? What problem are you trying to address or what opportunity are you highlighting? Who is your target audience? Narrative The narrative element is what transforms raw data into a compelling and relatable story. It involves crafting a coherent storyline that connects the data points and insights in a way that resonates with the target audience. A well-structured narrative should have a clear beginning, middle, and end, guiding the audience through the data while highlighting the key messages and implications. The narrative should also incorporate storytelling techniques, such as using analogies, metaphors, and emotional appeals, to make the data more accessible and memorable. Effective content operations strategies ensure data-driven narratives are consistently produced and distributed across channels. Source: SAP Visuals While data and narrative are essential, visuals play a crucial role in making the two more engaging and easier to understand. Studies suggest that as much as 78% of students are visual learners. Data visualization techniques, such as charts, graphs, infographics, and interactive dashboards, can help simplify complex information and reveal patterns that may not be immediately apparent in raw data. Effective visuals should be clear, intuitive, and aligned with the narrative, enhancing the storytelling experience rather than distracting from it. How to Craft a Compelling Narrative Using Data Stories in Healthcare Marketing Effective data storytelling in healthcare marketing is not just about presenting data, it’s about crafting a compelling narrative that inspires action, fosters understanding, and ultimately contributes to better patient outcomes and healthier communities. Here’s a roadmap to crafting a compelling data story. Know your audience Tailor your narrative to resonate with your target audience. Consider their level of data literacy, background knowledge, and personal experiences. Creating a content map can help structure your narrative for the specific audience. Adapt your storytelling approach accordingly, using language and examples that will resonate with them. For instance, if you’re writing for policymakers, it’s best to concentrate on the big picture, like recommendations and implications of the data you’re presenting. And if you’re writing for researchers, you may be more specific and dive into details, like methods and limitations of your various data sets. Identify the core message It’s crucial to define the central message you want to communicate through your data story. This could be highlighting a successful treatment approach, demonstrating the impact of preventive care, or raising awareness about a particular health issue. Ensure that your core message is clear and aligns with your marketing objectives. Build a captivating story Like any good story, your data narrative should have a clear beginning, middle, and end. Start by setting the context and introducing the problem or opportunity. Then, present your data-driven insights and evidence, building towards a climax or turning point. Finally, conclude with a compelling call to action or resolution. Effective storytelling involves more than just presenting facts. Utilize techniques such as character development, conflict and resolution, emotional appeals, and descriptive language to captivate your audience and make your data story more memorable. Connect your data story to tangible outcomes and real-world implications. Demonstrate how the insights derived from your data can improve patient care, enhance treatment efficacy, or drive positive changes in healthcare practices. Select the right visuals Visuals play a crucial role in bringing data stories to life and enhancing their impact in healthcare marketing campaigns. Here are some effective visuals you can consider incorporating into your data-driven narratives: Charts and graphs Infographics Heat maps Pictograms and icon arrays Annotated images and illustrations Video and animation Where possible, incorporate interactive elements into your data story. This could include clickable visualizations, multimedia components, or opportunities for audience participation. Interactivity can enhance engagement and create a more immersive experience. Revealing Insights and Deriving Value: Examples of Data Storytelling We’ve talked a lot about how influential data storytelling can be and how to achieve a good narrative and visualization. But let’s show and discuss data storytelling examples. UNODC Source: UNODC The alarming rise of synthetic drugs, such as opioids and methamphetamines, has escalated into a global health crisis, demanding immediate attention and action. Recognizing the urgent need for awareness, the United Nations Office on Drugs and Crime (UNODC) has crafted an interactive page that captures the far-reaching impact of this issue across the globe. This awareness campaign exemplifies effective data storytelling, seamlessly blending data visualization and compelling narratives. As you navigate through the interactive page, you are immediately drawn to a world map. Scrolling down, information unfolds layer by layer, detailing the realities of substance abuse, linked to the countries it afflicts. As you delve deeper into the page, the world map becomes a tapestry of data points, each contributing to the overarching narrative — a sobering reminder that this crisis transcends borders and affects nations globally. Spotify Spotify is known for its data storytelling. Just think of the Spotify Wrapped we get each year that turns our listening habits into dynamic visual and audio experiences. It’s similar for the artists, and Spotify’s 2022 Fan Study is a prime example of good data storytelling. This report provides musicians with relevant data insights into how listeners’ habits and engagements can influence their follower count and music streaming numbers. The main page seamlessly blends data visualizations, such as infographics and line charts, with concise explanations, offering a comprehensive understanding of the data trends. One of the key components of a good data story is the ability to provide context and tell a compelling story with the data. Spotify for Artists achieves this by breaking down the report into subsections like engagement, merch, and release, each section offering data-driven insights and tips to help musicians grow their fanbase and reach a wider audience. Successful data storytellers not only present the data but also evoke an emotional response by highlighting the human element behind the numbers. Spotify’s report achieves this by focusing on the personal connections between musicians and their listeners, emphasizing the importance of understanding and catering to their audience’s preferences. Furthermore, the user experience is enhanced by creative visuals, such as animated text on scrolling, making the data presentations more engaging and memorable. National Geographic The National Geographic article, “Visualizing 500,000 Deaths from Covid-19 in the US,” is a poignant example of effective data storytelling. When dealing with large and abstract numbers, such as the staggering loss of human lives due to the COVID-19 pandemic, it can be challenging to comprehend the true magnitude of the data. This article masterfully addresses this challenge by employing data visualization techniques that make the data relatable and emotionally resonant. In a good data story, it’s also important to provide context and frame the data in a way that resonates with the audience. In this case, National Geographic achieves this by comparing the 500,000 COVID-19 deaths in the US to familiar subjects and settings that people can easily visualize and relate to. For instance, the article visualizes the loss by comparing it to all fast food cooks in the country. By anchoring the data in relatable contexts, the article enables readers to grasp the sheer scale of the loss in a way that raw numbers alone cannot convey. Summing Up By harnessing the power of compelling narratives, data visualizations, and emotional connections, pharmaceutical companies can effectively communicate complex healthcare insights, treatment effectiveness, and data trends to a wide range of stakeholders, including healthcare professionals, policymakers, and the general public. Effective data storytelling in the pharmaceutical industry goes beyond mere data presentation, it involves uncovering key insights, providing context, and weaving a cohesive narrative that resonates with the audience. This approach not only enhances understanding but also fosters trust and credibility, essential components in an industry where lives are at stake. As data scientists, pharmaceutical companies must master the art of data visualization, utilizing tools such as infographics, line charts, and interactive dashboards to bring their data to life. By presenting complex data in a visually compelling and easily digestible manner, they can communicate intricate concepts, highlight patterns, and show key ways to drive informed decision-making. Looking ahead, the role of data storytelling in the pharmaceutical industry will only continue to grow in importance as the industry grapples with an ever-increasing volume of data and the need for effective communication across diverse stakeholder groups. By embracing the art of storytelling with data, pharmaceutical companies can unlock new avenues for innovation, foster trust and transparency, and ultimately contribute to better health outcomes on a global scale. We here at Viseven can help you create data-based storytelling that is bound to make your audience interested. Our content experience platform, eWizard, enables you to create powerful content, and reuse it on multiple platforms, not only providing an exciting visual experience to your audience but also saving you time and resources. Contact our team below to get a full demo!
Maximizing impact with eDetailing: our practical guide for pharma Posted on June 11, 2024November 14, 2024 by Andrii Nikulin Looking for ways to revolutionize your communications with healthcare professionals? Our eDetailing Guide is your roadmap to personalized, data-driven engagement that gets results. Inside, you’ll discover: How to craft personalized eDetailing experiences that resonate with HCPs and drive results. Personalization in eDetailing goes beyond simply addressing HCPs by name. It involves tailoring the entire experience—from the content presented to the interactions facilitated—to each individual HCP’s specific preferences, interests, and needs. This can be achieved by leveraging data from various sources, such as past interactions, online behaviour, and professional profiles, to create detailed HCP profiles. These profiles can then be used to dynamically adjust the eDetailing content, ensuring that each HCP receives the most relevant and engaging information. Our guide delves into the strategies and technologies that enable this level of personalization, ultimately leading to more meaningful conversations and improved outcomes. A step-by-step checklist for implementing personalization strategies that make a real impact. Implementing personalization in eDetailing requires a structured approach. The guide provides a comprehensive checklist that outlines the key steps involved, from defining clear objectives and integrating data sources to developing tailored content and deploying the necessary technology. This checklist serves as a roadmap for pharmaceutical companies, guiding them through the process of creating and delivering personalized eDetailing experiences that resonate with HCPs and drive measurable results. The secrets to leveraging storytelling and interactive content to boost HCP engagement. Storytelling and interactive content are powerful tools for capturing and maintaining HCPs’ attention in the digital age. The guide explores how to combine these elements effectively within eDetailing presentations. It emphasizes the importance of crafting narratives that are not only informative but also emotionally resonant, making the information more memorable and impactful. Additionally, the guide provides insights into incorporating interactive elements, such as quizzes, polls, and simulations, to create a more engaging and immersive experience for HCPs. How to choose the right digital content factory model for your needs. Pharmaceutical companies have varying needs and resources for eDetailing content creation. The guide presents three distinct digital content factory (DCF) models: white-glove, hybrid, and self-service. Each model offers a unique approach to content production and management, catering to different budgets, timelines, and levels of in-house expertise. The guide helps companies assess their specific requirements and select the DCF model that best aligns with their goals and capabilities. An overview of the top self-service platforms for eDetailing creation. The guide provides an overview of the leading DCF platforms available in the market for companies opting for a self-service approach. It highlights each platform’s key features and benefits, such as eWizard, Shaman, and IQVIA OCE Digital, enabling companies to make informed decisions based on their specific needs and preferences. We covered aspects like content creation tools, localization capabilities, analytics, and integration with other systems, empowering companies to choose the platform that best suits their eDetailing workflow. A guide to selecting the perfect agency to bring your eDetailing vision to life. Partnering with an agency can be a strategic move for companies seeking external expertise in eDetailing creation. The guide offers a comprehensive framework for selecting the right agency partner. It emphasizes the importance of considering factors such as experience, technical capabilities, creative approach, regulatory knowledge, client references, cost, and ongoing support. By following this guide, companies can confidently choose an agency that understands their vision and has the skills and resources to bring it to life, ensuring a successful and impactful eDetailing production and delivery. Don’t miss out on this opportunity to boost your HCP engagement. Download our guide and unlock the full potential of eDetailing today!
Patient Support Programs: What Are They & What They Offer Posted on June 4, 2024November 12, 2024 by Andrii Nikulin We’ve all been there: one day you get sick and a physician prescribes multiple medications to put you back on your feet, each with specific instructions and potential side effects to monitor. On top of that, you’re faced with navigating the maze of insurance approvals, high out-of-pocket costs, and a general lack of understanding about your own treatment options and plan, all while being sick and dazed. Sounds familiar and quite overwhelming, doesn’t it? This is the reality for many patients, which is why an increasing number of pharmaceutical companies are rolling out Patient Support Programs (PSPs) — comprehensive initiatives designed to empower and guide individuals through their healthcare journeys. These programs go beyond just providing medication, they offer a multifaceted approach to supporting patients from diagnosis to managing their condition long-term. Let us take a closer look at the Patient Support Programs, their development and implementation process, the different types, challenges they face, and their future within healthcare delivery. What are Patient Support Programs (PSPs)? Patient Support Programs (PSPs) are initiatives, that often come in the form of custom mobile apps, offered by pharmaceutical companies to provide education, resources, and services to patients prescribed certain medications or undergoing specific treatments. Source: Deloitte, Common patient support activities At their core, patient support programs aim to break down common barriers that hinder successful treatment outcomes. Many PSPs provide financial assistance, copay assistance, or free drug supplies for eligible patients. Patients struggling with adherence will find medication reminders, symptom trackers, and direct nurse support lines. Educational resources and counseling services are available to help patients better understand their condition and regimen to avoid confusion. But PSPs don’t just benefit patients, they’re a strategic investment for pharmaceutical companies as well. By enhancing medication adherence and persistence, PSPs drive increased product utilization and revenue. They also allow companies to collect invaluable real-world data, build brand loyalty, and demonstrate a genuine commitment to improving lives beyond the bottom line. How Pharma Companies Can Implement Patient Support Programs Source: IQVIA To develop the best-in-class patient support programs, you need to collaborate closely with stakeholders like business strategists, and medical, pharmacovigilance, and sales teams. Program development — Pharma companies first identify medications or disease areas that would benefit from enhanced patient support. They assess the needs of those patient populations and design the services or resources to be offered through the PSP. This includes any financial assistance, educational materials, app development, nurse counseling services, other features. Contracting vendors — Many pharma companies outsource part or all of the PSP operations to specialty vendors and third-party service providers. These vendors are contracted to handle tasks like operating call centers, distributing copay cards, developing apps and websites, and providing nursing staff. Data integration — The patient support services generate valuable data that needs to be integrated back to the pharma companies. This requires building data platforms and processes to aggregate information from vendors on patient demographics, medication utilization, clinical outcomes, and patient-reported data. Enrollment channels — Pharmaceutical companies work to create easy enrollment channels so patients can access the PSP. This includes physician outreach so providers can refer patients, as well as direct-to-patient channels like websites and call centers. Staff training — On the pharma side, internal staff like sales reps and medical liaisons are trained on the details of the PSP offerings so they can appropriately educate providers and patients. Patient outreach — Pharma companies conduct direct-to-patient outreach and marketing to drive awareness and utilization of the PSP services. Tactics like social media, targeted advertising, and advocacy group partnerships are employed. Metrics and analysis — PSP performance is measured through ongoing data analysis of metrics like program enrollment, persistency rates, patient satisfaction surveys, and ROI calculations looking at the PSP’s impact on medication adherence. Continuous improvement — Based on patient feedback and operational data, pharma companies continually refine and enhance their patient support program offerings over time to optimize their investments in these comprehensive patient support initiatives. While PSPs require significant cross-functional coordination, pharmaceutical companies see them as valuable pharma marketing tools for improving product performance and patient outcomes. Types of Patient Support Programs PSPs differ based on the therapeutic sector and particular medications, however, their main goal is to provide access and help patients overcome barriers to healthcare access and adherence, ultimately improving their health outcomes. Patient assistance programs Patient assistance programs are mainly offered in the U.S. to lessen the financial burdens and help patients and their caregivers get the medication. These programs help review the current insurance coverage, assist with prior authorization if needed, provide trial and copay card information, and check if a patient is eligible to enroll in a financial assistance program. Patient education programs Patient education programs aim to improve patients’ and caregivers’ understanding of the disease and the medication or devices that treat it. Patients and caregivers can receive instructional assistance from medical providers over the phone or via digital platforms. In addition, medical writers create patient-friendly visual educational materials. Patient education also entails adherence outreach meaning patients are followed up to share their experiences and struggles in order to be assisted and encouraged to stay adherent. Provider support A crucial strategy of patient support programs is equipping healthcare providers with resources to streamline patient access to medications and enhance education. Programs supply providers with sample products, device demos, FAQ materials, visual guides, copay cards, financial assistance info, and more. This allows providers to initiate therapy seamlessly. Additionally, PSPs assist providers by providing billing and coding support to ensure proper reimbursement for medication administration services. Challenges Associated with PSPs for Pharma Different types of PSPs offer a wide variety of benefits to life science businesses and healthcare facilities. So why doesn’t every company and clinic just use one? Well, there are certain challenges to implementing patient support programs that we must look at. One major challenge is the substantial cost and resource intensiveness involved in developing and operating comprehensive PSPs. Funding components like call centers, copay assistance, technology solutions, and nursing staff support can be extremely costly, especially when trying to scale these programs. Integrating data from multiple vendors and platforms delivering PSP services is technically complex. Creating unified views of the patient journey and outcomes requires robust data management capabilities. Ensuring regulatory compliance around areas like product promotion, privacy, data sharing, and avoiding improper inducements is also an ever-present obligation. PSPs have to meticulously follow the rules and implement tight compliance processes to steer clear of any violations. Quantifying the return on investment is another major hurdle. While PSPs aim to improve medication adherence and overall outcomes, pinpointing their precise impact is difficult given the many variables at play in disease management. Even with promotional efforts, driving patient awareness and adoption of PSP offerings can be an uphill battle, particularly among harder-to-reach populations. Personalizing the experience to diverse patient needs, health literacies, and preferences is resource-intensive. Coordinating priorities and sharing data among all the stakeholders — pharma companies, providers, payers, and vendors — adds another layer of complexity with so many parties involved. Sustaining long-term engagement is tough too, as patients’ circumstances continually evolve. And in an increasingly crowded PSP market, differentiating your program and delivering a truly superior experience gets more challenging by the day. Overcoming these hurdles demands strategic long-term planning, investments in robust technology platforms, effective vendor management, and a commitment to continually enhancing offerings based on real-world insights over time. It’s a major undertaking, but one that pharmaceutical companies are prioritizing to support patients and steward their product portfolios effectively. Future of PSPs in Custom App Development There’s no denying the growing demand for digital patient services in the pharmaceutical industry these days. 48% of adults are already using or interested in pharma’s digital offerings, and a whopping 68% of physicians are more likely to prescribe a product backed by solid patient support and services. Pharmaceutical companies clearly recognize this trend, with most, if not all, rolling out various digital engagement programs in recent years. And it’s not just about checking boxes anymore. New technologies are opening up fresh channels and enabling more holistic, comprehensive patient support initiatives. A recent study highlighted a clear shift away from that transactional mindset focused solely on enrollment and training. Instead, there’s a move towards more collaborative, integrated programs laser-focused on truly empowering patients to live well with their conditions. Think tailored interventions, behavior modification, and support extending to caregivers and beyond. These trends, coupled with digital innovations and better access to patient data, present an exciting opportunity for pharma. They can now craft bespoke healthcare solutions finely tuned to the unique needs of different patient groups in a targeted, value-additive way. And the potential upsides are huge — online disease management services have been shown to improve chronic care outcomes by up to 10%. Final Thoughts At the end of the day, patients crave simplicity and customization so they can take ownership of their wellness journey. They want solutions intuitive enough to fully participate in their own care. By tapping into new technologies, pharma can finally deliver on those desires with patient-centric digital offerings that resonate on a personal level. Patient support programs by themselves do not drive differentiation or boost trust and engagement. Programs have to be well-designed and provide patients with personalization. Fortunately, the technology is there to help pharmaceutical companies achieve these goals. If you want to develop a user-friendly custom healthcare app to boost your patient support program, don’t hesitate to contact Viseven. We have nearly 20 years of experience in pharma solutions development and can make your vision a reality.
Pharma 4.0: What You Need to Know Posted on May 23, 2024November 12, 2024 by Andrii Nikulin The pharma industry is on the cusp of a digital revolution, and Pharma 4.0 is leading the charge. With the global Pharma 4.0 market expected to reach $62.7 billion by 2032, this game-changing concept is set to transform the way drugs are discovered, developed, manufactured, marketed, and delivered. But implementing Pharma 4.0 isn’t a simple task. It requires a comprehensive strategy, a culture of innovation, and a willingness to embrace change. In this article, we’ll explore what Pharma 4.0 entails, the key technologies driving its adoption, and the steps your company can take to successfully implement it in 2024 and beyond. What is Pharma 4.0? The Pharma 4.0 definition lies in the transformative adoption of Industry 4.0 principles and cutting-edge digital technologies within the pharmaceutical industry. It represents a paradigm shift towards intelligent, interconnected, and data-driven pharmaceutical manufacturing processes. At its core, Pharma 4.0 leverages technologies such as artificial intelligence (AI), machine learning, the Internet of Things (IoT), cloud computing, and big data analytics to enhance efficiency, quality, compliance, and end-to-end visibility across the entire pharmaceutical value chain. Bringing Industry 4.0 to Pharma To understand the industrial revolutions’ impact on pharma and life sciences industries, let’s explore the past. The first industrial revolution (1760 to 1830) was characterized by the transition from manual production methods to machines powered by water and steam. This first industrial revolution didn’t have any instant influence on pharma, but it planted the seeds of the future revolution. The second industrial revolution (late 1800s and early 1900s) was marked by the introduction of electricity and the assembly line which enabled mass production. For pharma, it was a period of advancement, as Pfizer was established in 1849, Bayer in 1863, and Lilly in 1876. Pfizer supplied medicine for the Union during the war, Bayer commercialized aspirin, and Lilly focused on R&D and manufacturing. In the late 18th century, Switzerland swiftly developed pharma, as textile and dye manufacturers realized that their products had antiseptic properties. The third industrial revolution (late 20th century) was driven by the advent of computers, automation, and electronics, leading to a more automated and programmable manufacturing process. This period in pharma saw the introduction of many familiar institutions and the mass production of essential technologies. Particle counters became widely available, computers facilitated research and information sharing, and communication technology enabled unprecedented global collaboration. The fourth industrial revolution, or Industry 4.0, refers to the ongoing transformation of traditional manufacturing and industrial practices through the integration of advanced digital technologies in business processes, like IoT, AI, cloud computing, augmented reality, big data and analytics, advanced robotics, additive manufacturing (3D printing), and cyber-physical systems. These technologies make their way into the pharmaceutical industry, driving digital transformation and creating Pharma 4.0. So, what key needs guide companies on the way to Pharma 4.0? Pharma is strictly regulated, so it faces rigorous scrutiny when implementing changes that influence production and related aspects, creating a need for a reliable pharmaceutical quality system. Pharmaceutical manufacturers, vendors, and professionals have already begun exploring viable applications of Industry 4.0 within their organizations, while the International Society for Pharmaceutical Engineering (ISPE) is working towards better defining the various aspects that characterize Pharma 4.0. While this solution is still far from being fully realized, and the current progress is likely just the first steps in a lengthy journey with an uncertain final destination, the ISPE European Pharma 4.0 Conference emphasized several key messages that guide along this path. Beyond automation Automation alone will not be the sole transformative element in Industry 4.0 programs. Several other key factors, such as quality and holistic control strategy, workforce, efficiency, integration, and collaboration, will play a fundamental role in shaping the pharma smart factories of the future. Collaborative ecosystems The term “value supply chain” highlights the need for companies to proactively collaborate with partners in an integrated supply chain, creating a system where information, raw materials, and products flow freely. Machine and equipment vendors must take an active role in building these streamlined systems. Leveraging existing data While technological innovations in the form of new equipment, software, and services are necessary for a meaningful Industry 4.0 implementation, existing data sets should not be discarded. Advanced analysis techniques can be applied to existing data to provide useful, production-relevant insights. In this context, data integrity also becomes a major concern for the pharma businesses. “By Design” approach Industry 4.0 will involve not only innovation and technological breakthroughs but also improvements that allow pharmaceutical manufacturers to incorporate specific features into machines, software, or processes at their point of creation. Human-centric approach Although Industry 4.0 may seem focused on machines, integration, methodologies, and processes, it is ultimately based on the most powerful asset any company could have: its workforce. The human factor is a key success driver, as the objective is not to replace humans with machines but to allow humans to work on value-added activities where their creativity and problem-solving capabilities can be fully utilized. Embracing change Believing in the upsides of Industry 4.0 is essential to find the next steps and see them through to implementation. Being disruptive can allow for finding new and radical solutions to long-standing problems. Pharma is embracing these Industry 4.0 technologies and messages across the entire value chain, from drug discovery to manufacturing, quality control, supply chain management, and regulatory compliance. This pharma digitalization promises to usher in a new era of intelligent, connected, and data-driven pharmaceutical operations, where personalized medicine, agility, and operational excellence reign supreme. Advantages of Pharma 4.0 Overall, Pharma 4.0 offers pharmaceutical companies the opportunity to transform their operations, enhance product quality and safety, improve efficiency, and meet the evolving needs of patients and regulatory bodies, ultimately driving innovation and long-term business success. But let’s discuss the advantages one by one. Better operational efficiency By leveraging technologies like automation, robotics, IoT, and cyber-physical systems, pharma companies can streamline and optimize their manufacturing processes, leading to higher productivity, reduced downtime, and lower operational costs. Higher product quality Advanced technologies like real-time monitoring, process analytics, and AI-driven quality control systems can help ensure consistent product quality, reduce deviations, and minimize the risk of batch failures or product recalls. Improved supply chain visibility Incorporating technologies like blockchain, IoT sensors, and digital twins can provide full visibility and traceability throughout the pharmaceutical supply chain, improving logistics, reducing counterfeiting risks, and enabling better inventory management. Accelerated time-to-market By leveraging advanced modeling, simulation, and additive manufacturing (3D printing) technologies, pharma companies can accelerate the drug development process, reduce time-to-market for new products, and respond more quickly to market demands. Personalized medicine Additive manufacturing (3D printing) and modular production facilities enabled by Pharma 4.0 can facilitate the production of personalized medicines and small batches tailored to individual patient needs, supporting the growing trend of personalized medicine. Regulatory compliance Pharma 4.0 technologies, such as IoT, data analytics, and blockchain, can enhance data integrity, traceability, and transparency, helping companies meet evolving regulatory requirements and maintain compliance throughout the product lifecycle. Pharma 4.0: Step-by-Step Instruction Digital maturity is a key facilitator of the Pharma 4.0 operating model. Industrie 4.0 Maturity Index outlines six phases of digital maturity, from computerization to adaptability. Companies at the maximum level of digital maturity will be self-adapting, capable of enduring tumultuous economic periods and fast-shifting corporate objectives to capitalize on opportunities. #1 Computerization The first stage of digital maturity involves automating simple manual tasks with digital technologies. The idea is to identify repetitive operations done better by computers, laying the groundwork for a digital infrastructure. #2 Connectivity Data silos emerge due to information technology, operation technology, and communication systems being out of sync with one another, To allow employees to complete their job efficiently, you need to integrate the systems so that data flows smoothly. #3 Visibility At this stage of digital maturity, many companies can begin seeing gradual improvements. The interconnectivity between people, machines, and processes generates a comprehensive digital footprint of production activities. This wealth of data can be leveraged to fuel real-time, data-driven decision-making. #4 Transparency As more data is collected, it unveils new insights into intricate systems that were previously obscured. Advanced analytics open up opportunities for optimization and improvement across various domains. #5 Predictability At this stage, detailed production records allow companies to predict and rectify issues before they occur. #6 Adaptability Systems foresee problems and automatically take appropriate action. At its most evolved, these systems are self-correcting and autonomous. Pharmaceutical Manufacturing in the Era of Pharma 4.0: A Glimpse into the Future The pharmaceutical industry’s future looks to be a fully digitalized and interconnected manufacturing landscape. Smart factories use modern technologies to connect all aspects of the manufacturing process. This enables real-time optimization, predictive maintenance, and autonomous decision-making capabilities. These factories have the potential to anticipate and address possible issues before they occur by leveraging IoT sensors, advanced analytics, and machine learning algorithms. This results in reduced downtime and uninterrupted production. Moreover, the integration of cyber-physical systems enables virtual simulations and rapid prototyping, improving manufacturing processes. The increased need for personalized medicine has resulted in a trend toward modular and flexible production methods. Additive manufacturing and modular production facilities enable the development of personalized medicine and small batches that are suited to particular patient requirements. Additive manufacturing enables the development of complicated drug delivery systems and tailored dosage forms, whereas modular facilities allow for the rapid reconfiguration of manufacturing lines for diverse pharmaceutical product types and batch sizes. This paves the path for mass customization and patient-centric manufacturing, which will revolutionize pharmaceutical production and delivery. However, while the benefits of Pharma 4.0 are substantial, its implementation is not without challenges. Challenges in the implementation of Pharma 4.0 Legacy systems, data integrity concerns, regulatory hurdles, and resistance to change can act as barriers to the successful adoption of Pharma 4.0 technologies. To overcome these challenges, pharma companies must develop comprehensive strategies that address data governance, cybersecurity measures, and regulatory compliance. Partnering with digital technology providers and regulatory bodies can help navigate the complexities of implementing Pharma 4.0 solutions while ensuring compliance with industry standards. It’s also paramount to maintain effective communication between all stakeholders, including executives, managers, vendors, pharmaceutical MSLs, and HCPs to ensure alignment and address concerns early. Fostering a culture of innovation and change management is crucial to facilitate the successful integration of these technologies. By embracing Pharma 4.0 and its accompanying best practices, pharmaceutical companies can unlock new levels of efficiency, quality, and innovation in the manufacturing of life-saving drugs. Implement Pharma 4.0 with Viseven The pharmaceutical value chain doesn’t stop with the manufacturing process. The goal is to deliver the pharmaceutical products to the final consumer — patients. To successfully achieve that, it’s not enough just to produce drugs without any other communication with your customers. That’s why investing time and resources in marketing is equally crucial as in other areas. Pharma 4.0 technologies and tools can help you optimize your marketing processes whether you’re promoting Rx or OTC products, and enhance communication with your target audience. Let’s learn how Viseven’s eWizard platform introduces Pharma 4.0 technologies into your marketing. eWizard is a content experience platform tailored for pharmaceutical marketing that enables companies to plan, create, collaborate on, distribute, manage, and integrate digital content at scale. The platform is powered with AI features that simplify content management and empower businesses to create personalized and relevant content while complying with MLR rules. Here’s a breakdown of eWizard’s AI-driven features. MLR acceleration engine MLR acceleration engine can speed up time-to-market by predicting the likelihood of content approval and alerting content creators when revisions are required. The solution also lets users upload emails and eDetailers for error analysis that can detect context mismatches and skipped references. AI algorithms play a crucial role in content creation and approval processes. They not only identify incorrect or non-compliant content pieces but also provide valuable suggestions on how content creators can rectify these issues, thereby increasing the chances of approval on the initial submission. Users have access to a set of rules and corresponding comments for assets that have not been approved. Leveraging these comments, content creators can adjust their messaging, streamlining the overall content approval process. Auto-tagging You can leverage auto-tagging to create highly personalized and compliant marketing campaigns that resonate with your target audience. AI software allows to automatically categorize and organize structured and unstructured digital content. The system utilizes computer vision to tag audio and video content, and natural language processing to tag text files. With these tags and the organized databases that store them, pharmaceutical companies can gain valuable insights into the performance of their content modules across various channels. This data-driven approach allows them to identify the most engaging content pieces that truly connect with their target audience, facilitating more effective and targeted marketing efforts. Smart search Thanks to the auto-tagging functionality and a wide array of tags, your assets are enhanced with additional contextual metadata, enabling smart search. With smart search you can find the needed content pieces in a matter of seconds, even if you handle vast amounts of data (which is usually the case for pharma), streamlining content production. AI-simulated speaker presentations eWizard enables users to produce compelling AI-simulated speaker presentations. Our clients can create content by selecting and animating an avatar that looks like a person giving a presentation. eWizard’s avatars look like actual humans, with realistic facial expressions. The solution also includes several languages and voice samples for additional customization. Companies can dramatically boost healthcare professionals’ engagement by using avatar presentations without investing considerable costs in production. Summing Up The future of pharma hinges on the successful implementation of Pharma 4.0. Companies that embrace this transformation will gain a significant competitive edge, driving efficiency, quality, and innovation in medicine development and delivery. However, Pharma 4.0 is more than just a technology transformation; it necessitates a culture of constant adaptation, collaboration, and investment in workforce upskilling. Those who grab this opportunity, cultivate an innovative culture, and develop a comprehensive Pharma 4.0 strategy will be in a strong position to impact the future of healthcare and provide tailored, precise medicines to patients globally. The time to act is now, and the rewards for those who successfully navigate this digital transformation will be immense.
Guide: How to Develop Effective Patient Apps & Healthcare Portals Posted on May 17, 2024November 14, 2024 by Andrii Nikulin Discover how to drive patient-centricity, enhance HCP engagement, streamline healthcare processes and boost brand trust with patient apps and healthcare portals for HCPs. In this guide, you’ll discover: Why user-centric solutions are essential for addressing current healthcare challenges. Key benefits of patient apps and HCP portals: boosted pharma brand trust, increased user engagement, improved adherence, better communication between patients and HCPs, and data-driven decision-making. Strategies for ensuring user-friendly design, security, and regulatory compliance. Real-world success stories from Viseven’s experience in the pharma industry. Download your copy and start building apps and portals that deliver exceptional value for your company, HCPs and patients!