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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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

[AIhrinn]

This video is truly inspiring! Looking forward to your next content! 🌟

[travelguy]

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.

[roshanhadwani]

Hi.
How can I learn more about AI related to healthcare remotely?

[reccocon]

How much you getting for the sales you pushing ?

[MrTherighteous]

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.

[biomedicalaibasics]

AI will revolutionize healthcare completely. It will reduce burnout for doctors, improve quality for patients and more profit or hospitals.

[vijaykargirwar]

How AI help in diagnosis of thalassemia. Pl guide

[CommenterIndeed]

Healthcare Ai = scan patient DNA -> finding out the disorders that patients are genetically prone to, consider patient life style, ex. smoking, drinking habits, work environment, etc., record patients' bio-markers from ex. liver and kidney function tests, match symptoms with diagnosis, coming out with the best individualized treatment plan for the patient -> future of medicine.
Healthcare Ai is able to pass medical licensing examinations NO matter the difficulty with a score of 100%. How about humans?

[amarkolasinac]

I firmly believe that we need to develop specialized AI models exclusively designed for the healthcare industry, rather than relying on general-purpose tools like ChatGPT for such sensitive applications. Healthcare demands precision, reliability, and certification, which generic AI models are not currently equipped to provide.

[Guylene]

“Nurses and doctors will always be in charge”. No mention of the patient. Patient and doctor and nurse 2:03 relationship is a collaboration. A patient is in charge of his own body and should decide what goes into it. Patient’s level of receptiveness depends on his level of trust in the medical establishment. I use A.I. to me on a daily basis. A.I. is available 24/7. The patient is the primary PERSON IN CHARGE of his care and primary person making decisions in his care. Medical errors happen, medical malpractice happens, drug adverse reactions happen, drug long term negative consequences happen; and a well informed patient can do a lot to advocate for himself. We see this time and time again when a patient, knowing his own body, prevented negative AND fatal outcomes.

[yeerekarshreya]

Now, that's what we call AI-powered healthcare! In any realm, SmythOS can be your AI sidekick. Automate deep tasks, mine data to gain insights, and unlock new opportunities. #AI #Automation #SmythOS

[Joshuajamesrodriguez]

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.

[samirelzein]

that s the blah blah of the topic, a good convo would ve been taking cases where AI is helping discovering new drugs etc

[k.s.w.]

I can’t help but think that the kind of AI generated voice/text customer service hell you get today from various companies when you’re put on hold — instead of connecting you immediately to a human — will not make healthcare better for patients. Of course, it will be wonderful for the companies looking to maximize profits by replacing human employees. Maybe don’t race into the future. Perhaps, tread carefully and deliberately.

[Jelvix]

Thank you for this video! AI truly simplifies people's lives. We also find it fascinating to watch, which is why our latest video is about AI in HEALTHCARE

[CommenterIndeed]

Ai = standardized healthcare. If there is something wrong with the programming, it would be easy to audit.
Individual practitioners, you have one million doctors, you get one million different styles of practice -> impossible to audit.

[alexmartinez]

The CEO is wrong. Doctors and Nurses are not the boss. The insurance companies are.

[vancejochim]

The public info officer is diluting the content by trying to be relevant, so this is just a rambling discussion. Better to have her excluded and let the two experts have a dialog. She can be replaced by AI!

[vLife]

They laugh like 1000 AI agents won't be as smart as the very best doctor at diagnosing. But while they work on that, for sure gains in Billing, Data Entry, Search, Fraud, Abuse, Mistakes and Routing should produce MASSIVE savings and efficiency within 3 years. But will that trickle down to consumers in the form of cheaper healthcare and how do we stop related corruption and fleecing. This will all happen as AI takes on manufacturing, logistics, cleaning, recycling, stocking and more.

[Guylene]

You should have a.i. at the table with you. A.i. answers are well rounded and less condescending. You’re making the general public sound like a bunch of idiots. We’re not illiterate monkeys or savage cave men!