With generative AI bursting onto the popular scene less than two years ago, a lot has been said and written about its uses and drawbacks. In healthcare, there’s significant interest—and caution—in applying this technology, particularly in clinical decision-making, where the need for accurate and up-to-date information is critical.

Join us for this insightful webinar for a deep dive into the growing complexities of knowledge management in healthcare and how generative AI can help provider teams to solve information dissemination problems, offer improved access to knowledge, and facilitate data-driven clinical decision-making. We will explore:

– Top benefits of implementing generative AI and knowledge management platforms in healthcare

– Strategies that use generative AI to provide instant answers based on predefined clinical resources and deliver best practices and knowledge directly to the point of care

– Ways to leverage generative AI in a HIPAA-compliant manner and tips for addressing privacy concerns

– The power technology can play in care collaboration and communication

– How generative AI can increase productivity and speed up clinical workflows

And more!

Ido Zamberg, MD, MEHP
Co-Founder & Chief Medical Officer,
C8 Health

Ido is a highly accomplished medical professional and computer scientist with a diverse clinical practice, research, and medical education background in Anesthesia and General Internal Medicine. He currently serves as the Chief Medical Officer at C8 Health and a Graduate Research Fellow at McGill University Health Centre, focusing on early prediction of pre-eclampsia. Dr. Zamberg is also a Clinical Resources Subcommittee Member at the Society for Obstetric Anesthesia and Perinatology. Dr. Zamberg has more than 14 years of experience working in the tech industry in large multinational companies like HP and Autodesk where his expertise was knowledge management and specifically optimizing access to enterprise-level knowledge bases. Dr. Zamberg earned his M.D. from the University of Geneva, Switzerland, his Master of Education in the Health Professions (MEHP) from Johns Hopkins University, and he is a Mamram graduate.

Jeffrey S. Berger, MD, MBA
Professor of Anesthesiology

George Washington University School of Medicine & Health Sciences

Jeffrey S. Berger, MD, MBA, is board-certified in Anesthesiology. He is the Seymour Alpert Professor of Anesthesiology at The George Washington University School of Medicine & Health Sciences. He completed his medical degree and residency training in New York where he was affiliated with The University of Rochester School of Medicine and The New York Hospital – Weill Cornell Medical Center. After completing his residency in 2005, Dr. Berger became a faculty member at New York University – Langone Medical Center, Tisch Hospital. He was awarded the prestigious Teacher of the Year award in 2006, and in 2007, he was given a Distinguished Educator honor. Advisor of C8 Health.

Ryan L. Melvin, PhD

Assistant Professor
University of Alabama at Birmingham

Dr. Ryan L. Melvin, PhD, is the Endowed Faculty Scholar for Data Science, Artificial Intelligence, and Machine Learning and an Assistant Professor in the Department of Anesthesiology and Perioperative Medicine at the University of Alabama at Birmingham. His multidisciplinary publication record spans Artificial Intelligence, Biology, Chemistry, Physics, and Statistics. Dr. Melvin has delivered numerous trainings, lectures, and seminars on AI across the globe. His innovative algorithms are actively utilized by academic, private, and governmental institutions. Dr. Melvin holds a Ph.D. in Physics and a Master’s in Statistics from Wake Forest University. His work has been highlighted in an Intel Spotlight video and featured in journals such as BJA and PNAS.