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The question on the minds of Medical Affairs: What should I know about generative Artificial Intelligence (AI) and its impact on my organization? Fueled by the rapid growth of ChatGPT, generative AI is the news topic of the year – creating a sense of urgency to understand and apply it in our day-to-day workflow against a backdrop of compliance and security concerns.
But there’s good news – generative AI can support Medical Affairs by reducing the analyzing and reporting time required by an ever-growing number of channels and a mountain of data. In the quest to separate signal from noise, generative AI has real potential – now – to cut workloads, provide more accurate insights, and add a competitive edge to teams who apply it across insight-gathering activities.
In this webinar, join industry and AI experts to:
The combined impact of treatment complexity and data availability highlights the value of Medical Affairs departments that have the capability to make clinical sense of new disruptive drugs, devices, real-time monitoring and diagnostics. Here, the MAPS Executive Consortium describes how.
This paper provides a vision describing how Gen AI technologies will reshape the possibilities and practice of Medical Affairs related to the four functional pillars of Strategy & Leadership, Evidence & Insights Generation, Evidence & Insights Communication, and Engagement & Partnerships.
Thank you MAPS Partner Circle members for sharing use cases that bring to life MAPS’ Vision for Generative Artificial Intelligence in Medical Affairs.
In this podcast, we interview Matt Lewis, Chief AI Officer at Inizio Medical, a well-regarded expert in data analytics and augmented intelligence.Â
AI Application in Medical Affairs – Advanced Course
This course includes
What you will learn?
Course description
This comprehensive course is tailored to professionals in the pharmaceutical, biotechnology, and medical device industries who work in Medical Affairs functions. It addresses the impact of technology and automation on Medical Affairs in the post–COVID-19 era, which has been accelerated by the pandemic.
This curriculum delves into the utilization of AI in the creation of personalized content, management of medical queries, and prediction of customer engagement pathways.
Additionally, it examines the use of AI in MLR review processes to allow for a more strategic allocation of resources and highlights current AI applications utilized in MLR reviews.
Furthermore, this curriculum explores the application of AI in personalizing customer interactions and utilizing next-best actions, content affinity, and channel affinity in Medical Affairs interactions, as well as AI’s role in generating insights.
Our on-demand content, which includes animations and rich graphics, is presented in a clear and concise manner, making it easy to understand and apply in real-world scenarios. Upon successful completion of the Certification Quiz, a downloadable version of this curriculum will be made available to users..
Learning activities/assessments: eLearning self-paced modules, knowledge checks, and a brief pre- and post-test
Approximate time to complete the activity: 120 minutes
Prerequisites: The eLearning module “Artificial Intelligence Foundations for Medical Affairs” is highly recommended.
Audience: Intermediate-level content for Medical Affairs professionals who have digital experience
Credits: As an IACET Accredited Provider, Medical Affairs Professional Society offers IACET CEUs for its learning events that comply with the ANSI/IACET Continuing Education and Training Standard. MAPS is authorized by IACET to offer 0.2 CEUs for this program.
Participants/attendees must complete 100% of the program and receive a minimum of 70% on the post program assessment.
At the conclusion of this online learning activity, participants should be able to:
1. Recall the impact of technology and automation across Medical Affairs in a post-Covid-19 world especially accelerated due to the pandemic
2. Articulate the potential business cases for AI within the Medical Affairs function
3. Describe the use of AI in modular content creation to deliver personalized targeted content
4. Explain how AI can help in the content supply chain and query management
5. Identify how the integration of AI and data sources predicts an ideal customer engagement pathway
6. Explain the need for AI in MLR review to allow reviewers to do more strategic work
7. List a few examples of AI applications in MLR review
8. Explain the role of AI in advanced MI portal search
9. Discuss the importance of conversational AI in customer interactions
10. Describe how AI can help in insight generation
11. List a few use cases of insight generation using AI in Medical Affairs
The session will focus on results from first hand experiences in Chat GPT and other Large Language Models (LLMs), themes will include:
In late January, MAPS published an article by Rahul Mandlik describing the use of ChatGPT in Medical Affairs. The result was a LinkedIn Discussion with over 40,000 views in its first 6 days. During this webinar, thought leaders in this space vision how ChatGPT may augment or, at times, undermine the practice of Medical Affairs in areas such as Medical Information, Omnichannel engagement and more. This is your chance to engage in the discussion of this absolutely cutting-edge topic. Is ChatGPT just another techno-fad? Will it fundamentally transform the Medical Affairs? What are the opportunities and dangers of this new technology? Bring your questions and join us for this interactive session.
In this discussion, panelists will share their insights on omnichannel considerations in Medical Affairs.
The discussion will cover:
This article provides top-level framework and broad conceptual categories for understanding digital structures within Medical Affairs and biopharmaceutical/MedTech organizations, helping leaders to make organizational decisions to drive their digital strategy with intention and purpose.
602 Park Point Drive, Suite 225, Golden, CO 80401 – +1 303.495.2073
© 2024 Medical Affairs Professional Society (MAPS). All Rights Reserved Worldwide.