How to Tell the Difference Between Insights and Observations in Medical Affairs
In this podcast sponsored by LARVOL, MAPS speaks with Medical Affairs experts on how to help actionable insights float to the top of the ocean of insights data.
In this podcast sponsored by LARVOL, MAPS speaks with Medical Affairs experts on how to help actionable insights float to the top of the ocean of insights data.
In this podcast sponsored by Alucio, MAPS speaks with Medical Communications experts about the new hybrid environment and how content strategy can support Medical Affairs engagements.
Today, some Medical Affairs leaders aren't sure whether (or how) to collect social media insights.
In our experience, social media insights are often as valuable as MSL insights. In this webinar, we will share real-life examples of how Medical Affairs can use social media insights to improve outcomes for customers and patients. If you're just starting to follow your HCPs on social media, we will share best practices for your team, potential pitfalls to avoid, and compliance considerations. Join us!
This podcast sponsored by IQVIA explores social media for insights and thought leader identification.
This webinar will focus on the evolution in medical information portals, new capabilities, system integrations and requirements for successful launch. In addition, there will be a focus on regulations that restrict capabilities in self service portals and tools to manage them. Finally, a look at future technology and how AI and enhanced search and chat may provide value in the near future.
We will focus on:
In this MAPS podcast sponsored by IQVIA, we speak with John Eichert, Director of the Thought Leaders Center of Excellence at IQVIA about scientific communications platforms and the combination of peer survey techniques with machine learning to identify key opinion leaders.
MAPS speaks with Hywel Evans Director of the IQVIA Natural Language Processing Insights Hub about NLP to generate medical insights.
The evolution of medical affairs to serve as a strategic leader in successful biopharmaceutical companies has been driven, largely, by an increasingly complex healthcare environment, in which medical affairs teams are engaging broader and more diverse stakeholder groups. As such, the need for medical affairs teams to be ‘agile’ or ‘flexible’ or ‘adaptable’ to keep up with, and more importantly, stay ahead of this dynamic healthcare ecosystem has been top of mind for medical affairs leaders. The challenge remains ‘how’ do medical affairs leaders prepare and enable their teams. The answer, in part, is that medical affairs leaders should embrace hiring, developing, and rewarding “learning agility” – the ability to cope with change and uncertainty by adapting previous lessons learned. In this webinar, we will overview learning agility and the six contributing dimensions. We will also discuss why learning agility is important at the organizational, functional, and individual level as well as how we can measure and develop learning agility across an organization. This webinar will aim to increase awareness of learning agility and discuss why it should be developed to prepare and enable teams to excel in a dynamic healthcare environment.
Historically, Medical Affairs strategy focused heavily on engaging with KOLs. Today’s Medical Affairs team engages with a much more diverse ecosystem of stakeholders. These external partners still include KOLs but now expand to to Patient Advocacy Groups, Key Decision Makers, Digital Influencers, Payors and more. This webinar will explore navigating these various key stakeholders, examining their relevance and discussing methods of identifying and strategically engaging these groups.
Companies are investing more in the analytics and insights capabilities for medical – whether it’s dedicating more resources, building out a center of excellence, or even having Commercial Ops and Analytics people transition to take on that role in Medical. Sophisticated customer tracking systems have accelerated engagement planning, while unique and advanced applications of Real World Data analysis have helped medical organizations better understand clinical unmet needs and identify new opportunities for evidence generation activities. Analytics are increasingly starting to inform business decisions across medical functions and activities. The application of AI to Field Medical insights in combination with other Medical data sources is starting to provide organizations with efficient and effective output that is transforming Medical strategy, innovation and supporting the goal of improving patient outcomes. But across the industry, we’re just scratching the surface of what can be done in Medical advanced analytics.
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