The PACE of Technology in Medical Affairs-Tools of the Trade

In this episode, Matt Lewis joins Tom Caravela to delve into the evolving landscape of AI in medical affairs, focusing on its current state in 2024. They explore practical applications of AI for Medical Science Liaisons (MSLs), highlighting the efficiency and benefits it brings to MSL teams. The discussion covers customizing AI tools for internal use and their potential applications in field medical. Matt and Tom also consider AI's pervasive future and its subtle integration into daily operations. The episode concludes with thoughts on AI's potential to address global challenges, offering listeners insights into harnessing AI for enhanced productivity and impact.

My guest this week is Matt Lewis, Global Chief Artificial and Augmented Intelligence Officer at Inizio Medical who discusses AI tools and the pace of technology in Medical Affairs.

Learn more about…

👉 What will be different tech-wise for MSLs in 2024, versus 2023
👉 How should companies be using AI in a field medical environment
👉 What should MSLs be doing with AI this year
👉 How will managers implement new AI programs
👉 The pace and how quickly pharma will move with technology advancements

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MSL Talk is a podcast that features helpful information for current Medical Science Liaisons, Medical Affairs leaders, job seekers looking to break into the pharmaceutical industry in their first MSL role, as well as anyone interested in hearing good industry conversation and medical affairs discussions.

#msl #medicalaffairs #medicalscienceliaison #MSLTalk #pharmaceutical

(0:00) Introduction of guest Matt Lewis and episode topic
(2:12) Sponsor: Fierce Life Sciences
(3:19) Recap of previous discussion on AI in medical affairs
(4:02) Current state of AI in 2024
(7:00) Practical applications of AI for MSLs
(10:50) Efficiency and benefits of using AI for MSL teams
(23:01) Customizing AI tools for internal use
(30:02) Potential AI applications in field medical
(33:23) AI's pervasive future and its subtle integration
(34:35) AI's potential to solve global issues
(35:31) Conclusion and final thoughts