Learn How Experts Put Tech to Work at 2024 AI in Healthcare Forum

Industry visionaries from leading health systems will demonstrate real-world applications for artificial intelligence and machine learning at the 2024 HIMSS AI in Healthcare Forum, slated for Sept. 5-6 in Boston. 

Decision makers, clinicians, leaders and other healthcare professionals can learn to navigate, adapt and roll out AI/ML technology for their healthcare practices. Registration is open. 

Among thought-provoking panel discussions and engaging fireside chats, several forward-looking sessions will delve into cutting-edge case studies for actually putting AI to work improving outcomes, relieving burnout and strengthening health systems. 

Case Studies in AI Deployment 

Sunil Dadlani, EVP, Chief Information & Digital Officer, Atlantic Health System, will bridge the gap between AI security and cyber defense, offering tips for leveraging their synergies to drive advancements in both fields. Come away with new techniques for leveraging this interdependence to create an innovative and resilient digital health landscape. 

Dr. Eve Cunningham, Chief of Virtual Care and Digitial Health, Providence, will give three concrete examples of how Providence uses AI to combat clinician burnout. Benefit from Providence‘s lessons learned in their build-versus-buy strategy for AI innovation.  

Troy Foster, Director, Digital Health, Stanford Healthcare, and Shreya Shah, Medical Informatics Director, Standford Health Care will delve into Stanford Health Care’s comprehensive approach to integrating generative AI in healthcare through detailed evaluations and pilot programs. Come away with early insights on how initial implementations have impacted clinician experience and patient care, helping you cut through the hype and identify the best AI tools for your needs. 

Dr. Jason Johnson, Chief Data and Analytics Officer, Dana-Farber Cancer Institute, and Dr. Renato Umeton, Director, AI Operations & Data Science Services, Dana-Farber Cancer Institute, will illuminate how and why Dana-Farber Cancer Institute built a secure and private exploratory environment to evaluate, test and deploy large language models (LLMs) for non-clinical applications such as clinical and basic research and operations.  

Gain invaluable insights, learn from expert experiences and identify best practices to inform decision-making and strategic planning at the AI in Healthcare Forum.