AI in Health Care - Promises and Concerns of Artificial Intelligence and Health
One of the most intriguing topics in health care for 2024 is the use of Artificial Intelligence in patient care and throughout the workplace. Two experts from UC Davis Health recently met to discuss where we are headed with the use of AI in health care. CEO David Lubarsky and Chief AI Advisor Dennis Chornenky shed light on the latest trends with AI, the relationship between human intelligence and artificial intelligence, some of the challenges facing the use of AI in health care, and how it can improve healthy equity and outcomes.
David Lubarsky, M.D., M.B.A., F.A.S.A., is the Vice Chancellor of Human Health Sciences and CEO for UC Davis Health, located in Sacramento, California. UC Davis Health is an integrated health system with approximately 17,000 employees, 1,000 students, 1,000 trainees, 1,300 faculty members and a large regional primary care network, providing more than 1.5 million outpatient visits every year with an annual budget of $4.3 billion.
Dennis Chornenky is a former senior advisor and strategy consultant in artificial intelligence (AI) and emerging technology for the White House. In 2023, he was named chief AI advisor to UC Davis Health, where he is leading efforts to establish an AI strategy and governance framework that ensures the UC Davis health system's approach to AI is safe and ethical. Additionally, he will assure all AI efforts meet emerging regulatory compliance standards.
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UC Davis Medical Center is a nationally recognized academic medical center offering primary care for all ages, specialty care in 150 fields, and the latest treatment options and expertise for the most complex health conditions. UC Davis Medical Center serves a 65,000-square-mile area that includes 33 counties and 6 million residents across Northern and Central California. The medical center typically admits approximately 30,000 patients per year and handles more than 900,000 visits, while the emergency room sees more than 200 patients per day on average.
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Betty Irene Moore School of Nursing at UC Davis: health.ucdavis.edu/nursing/
UC Davis MIND Institute: health.ucdavis.edu/mindinstit...
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0:00 Health care and AI introductions
1:00 How is UC Davis Health approaching AI's role and patient care?
2:30 How can AI personalize health care?
4:44 What does self-service health care look like?
6:21 Regulating AI in health care
10:59 The relationship between artificial and human intelligence
14:59 Generative AI's role in health care
22:33 Issues and challenges with A.I. in health care
26:18 How AI can improve care and equity
32:30 Privacy preserving technologies for machine learning
35:52 AI and implicit bias
38:13 Final thoughts on AI in health care
#AI #artificialintelligence #healthcare #ucdavis
UC Davis should look into Suki AI which is working very well for a group of physicians in the Phoenix area. Once a provider starts using the Generative AI Technology, the reduction in the burden is felt immediately. For the past 5 months, the saved time has been at least 1.5 to 2 hours.
Per day, per week or in total? If in total it doesn't seem that much.
Hi. How can I learn more about AI related to healthcare remotely?
I recommend exploring specialized scientific journals; there are numerous. Also, Smart Medicine, a dedicated website, is worth considering for valuable insights.
Finally
How much you getting for the sales you pushing ?
AI will revolutionize healthcare completely. It will reduce burnout for doctors, improve quality for patients and more profit or hospitals.
Medical errors are the third leading cause of death in America, just behind heart disease and cancer. At 1:07 this Dr Lubarsky says "Nurses and Doctors will always be in charge". He is sadly mistaken. Medical AI advances will become more viable than seeing a doctor or a nurse, with statistically better outcomes. I think that is great news! I am a retired Air Force Medical Service Corps Officer myself and I support better patient care than what we provide today.
Some of their references to the downsides of Generative AI seem fabricated for the sake of their argument. Ive never had chatgpt incorrectly reference specific trials that don't exist at all. I would prefer for him to show examples.
your selection bias isn't holding up here
@@hellothere-mm1sp Please elaborate, selection bias towards what? ChatGPT?