How Global Regulation Shapes Responsible AI in Healthcare With: Emily Lewis
Emily Lewis, an AI thought leader, offers a pragmatic look at the evolving regulatory landscape around AI in healthcare. In this short but powerful segment, she explains how responsible AI hinges on clear, geographically sensitive oversight. Comparing approaches like the FDA in the U.S. and the NHS in the U.K., Lewis highlights emerging precedents that could ripple across global standards. She emphasizes the challenge of balancing innovation with patient safety and privacy—underscoring the need for foresight, harmonization, and continual learning. Her insights align with current concerns about how fast generative models are evolving and the urgency to build adaptable regulatory guardrails. This clip is particularly useful for professionals tracking the regulation of AI in healthcare and looking to stay ahead of global compliance risks.
Episode Contents:
About the Guest
Emily Lewis is a trailblazing innovator and leader in the realm of digital health and AI. Public profile: https://www.udemy.com/user/emily-lewis-77/
Key Takeaways
- AI regulation must balance innovation with patient safety
- Global definitions of medical devices vary and affect AI deployment
- Healthcare leaders should tailor AI solutions by geography
Transcript Summary
What kind of regulatory foresight is needed for responsible AI in healthcare?
Emily Lewis emphasizes the importance of proactive regulation that doesn't over-restrict innovation but ensures strong patient safeguards. She calls for forward-thinking guardrails and stresses putting the patient first.
Who currently defines regulations for AI in healthcare?
The FDA leads in the U.S., but Emily points out that the NHS in England recently classified AI in health records as a medical device. This could influence other countries and prompt tighter regulations globally.
What’s your advice to healthcare professionals navigating AI integration?
Stay informed daily. Emily suggests using tools like ChatGPT for AI news briefs and maintaining an optimistic yet realistic mindset. She advises incorporating AI learning into everyday routines.
More Topics
- AI in Patient Care
- AI in the Healthcare Industry
- AI and Medical Innovation
- Healthcare Ethics and Policy
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About the Series
AI and Healthcare—with Mika Newton and Dr. Sanjay Juneja is an engaging interview series featuring world-renowned leaders shaping the intersection of artificial intelligence and medicine.
Dr. Sanjay Juneja, a hematologist and medical oncologist widely recognized as “TheOncDoc,” is a trailblazer in healthcare innovation and a rising authority on the transformative role of AI in medicine.
Mika Newton is an expert in healthcare data management, with a focus on data completeness and universality. Mika is on the editorial board of AI in Precision Oncology and is no stranger to bringing transformative technologies to market and fostering innovation.