HLTH Executive Series: How AI Saves Lives in Healthcare with Dr. Richard Milani, Sutter Health
The future of healthcare relies on artificial intelligence to handle complex data and assist clinicians, especially as the aging population grows and caregiver numbers diminish.
In this episode, Dr. Richard Milani, Chief Clinical Innovation Officer at Sutter Health, discusses Sutter's innovative approach to healthcare. He explains how they're using AI to improve patient care, reduce documentation burden, and predict deteriorating health conditions, saving 44% more lives in the process. Dr. Milani highlights Sutter's unique chronic disease management programs and their investment in digital health startups. He also emphasizes the importance of human oversight in AI-driven care and the need for unobtrusive monitoring to manage the health needs of an aging population.
Tune in and discover why digital tools that can monitor daily living activities are the future of patient care!
About Dr. Richard Milani:
Dr. Milani serves as the Chief Clinical Innovation Officer, at Sutter Health. His background and research focus on population health with a special interest in chronic disease, medical informatics, preventive medicine, and healthcare technology. After receiving his Internal Medicine training at the University of Florida, Dr. Milani completed fellowships in Critical Care Medicine at the University of Florida, Preventive Medicine, and Clinical Epidemiology at Harvard University (Massachusetts General Hospital), and Cardiovascular Diseases at Ochsner Clinic Foundation. He has authored over 500 medical publications, is on the editorial board for several medical journals, and serves as a frequent lecturer for healthcare systems and Fortune 500 companies as well as an advisor to venture capital firms and emerging healthcare technology companies.
Things You’ll Learn:
AI and scribe companies are being used to reduce clinician documentation time, and reduce 'pajama time'.
AI models can predict patient deterioration, such as cardiac arrest, and allow for early intervention, reducing cardiac arrests by 44%.
AI should act as an assistant, with a human clinician always in the loop for evaluation and decision-making.
Technology should point clinicians toward patients most in need, optimizing care and resource allocation.
Digital tools that can monitor the activities of daily living unobtrusively are the future of patient care, especially for elderly patients living alone.
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