
Hosted by Emerj Technology Research · EN

Internal audit sits at the crossroads of regulation, data, and business outcomes—nowhere more than in healthcare and medical devices. Yasemin Agatan, Sr. Vice President of Internal Audit at AdaptHealth, joins Emerj Editorial Director Matthew DeMello to unpack what an "AI-ready" audit looks like in one of the most complex and regulated environments. Yasemin lays out today's top pressures: rapidly shifting FDA and HIPAA requirements, thorny revenue recognition and reimbursement models, multi-party contracts, and a deluge of device and platform data. She then maps where AI is already moving the needle—NLP for coding accuracy, automated claims checks, anomaly detection that shortens audit cycles—and how internal audit can lead with governance: creating an AI inventory, partnering with InfoSec, compliance, legal, and data teams, and putting privacy and data minimization at the core. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

In this episode of the AI in Healthcare and Life Sciences podcast, host Matthew DeMello speaks with John-Clark Levin, Fellow at the Yorktown Institute and researcher at Kurzweil Research, about the intersection of U.S. politics, AI development, and biosecurity. Levin outlines why the coming years may prove decisive for artificial general intelligence (AGI) and how political volatility under the current administration could directly impact AI safety and regulation. He explains the unique risks of authoritarian tendencies in shaping AI policy, particularly when it comes to epistemics—how governments decide what's true and which advisors they trust. Want to share your AI adoption story with executive peers? Click emerj.com/ex2 for more information and to be a potential future guest on Emerj's flagship' AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today's guest is John-Clark Levin, Research Lead at Kurzweil Technologies. Kurzweil Technologies, Inc. (KTI) is a research and development company developing and marketing technologies in pattern recognition and artificial intelligence. In this episode, John-Clark unpacks the challenges of deploying AI in healthcare, focusing on reliability, risk tolerance, and the gap between model performance and real-world trust. He explores why even small error rates can derail adoption in high-stakes settings and how legal, institutional, and educational barriers often slow progress more than the technology itself. Want to share your AI adoption story with executive peers? Click emerj.com/ex2 for more information and to be a potential future guest on Emerj's flagship' AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!