How Can AI Improve Health Care? – Wharton's Hamsa Bastani and Marissa King | AI in Focus Series
Episode Description
EPISODE OVERVIEW Wharton professors Hamsa Bastani and Marissa King join Eric Bradlow, vice dean of Analytics at Wharton, to discuss AI’s widespread application in health care: where it’s already being used successfully, like radiology, and where challenges loom large, like implementation and clinical resistance. This interview is part of a special 10-part series called "AI in Focus."
Topics and questions covered: 00:00 - Introductions 2:09 - Applications of AI in healthcare 5:40 - Barriers for AI in healthcare 9:16 - Navigating restrictions on algorithms 14:01 - Realtime uses of algorithms 18:02 - Navigating uncertainty in AI 21:58 - How can healthcare professionals be trained in AI? 25:58 - Potential frontiers of AI
SERIES OVERVIEW The artificial intelligence revolution is officially upon us. Hear from host Eric Bradlow, Vice Dean of Analytics at Wharton, as he meets with Wharton faculty experts across a wide range of business domains – from healthcare and neuroscience to sports and the auto industry – to learn how AI will impact these fields moving forward, and what we can do to stay ahead of the curve.
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Brief Summary
AI and machine learning are transforming healthcare through improved efficiency and patient outcomes, but face challenges in implementation and clinician acceptance.
Key points
- AI's Role in Healthcare. AI and machine learning are transforming healthcare by improving outcomes and efficiency.
- Challenges of Algorithm Integration. Integrating algorithms into clinical workflows presents significant challenges for healthcare providers.
- FDA Approval for Algorithms. Over 500 algorithms have received FDA approval, yet many are not used in practice.
- Healthcare Analytics Lab Launch. A new healthcare analytics lab is being launched to tackle pressing healthcare challenges.
- The Role of Uncertainty in AI. Understanding uncertainty in AI recommendations is crucial for clinicians.
- Future of AI in Healthcare. Experts discuss the future of AI in healthcare over the next decade.
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Episode highlights
- AI's Role in HealthcareAI and machine learning are transforming healthcare by improving outcomes and efficiency.“AI is already playing a critical role in a lot of domains of healthcare.”3:24Nov 10, 2023
- Challenges of Algorithm IntegrationIntegrating algorithms into clinical workflows presents significant challenges for healthcare providers.“Getting algorithms into someone's workflow is really tough.”6:39Nov 10, 2023
- FDA Approval for AlgorithmsOver 500 algorithms have received FDA approval, yet many are not used in practice.“All these algorithms require FDA approval.”11:04Nov 10, 2023
- Healthcare Analytics Lab LaunchA new healthcare analytics lab is being launched to tackle pressing healthcare challenges.“Analytics at Wharton is launching a healthcare analytics lab under Hamza and Marissa's leadership.”17:45Nov 10, 2023
- The Role of Uncertainty in AIUnderstanding uncertainty in AI recommendations is crucial for clinicians.“Uncertainty is one of those critical pieces of information that you have to convey.”18:46Nov 10, 2023
- Future of AI in HealthcareExperts discuss the future of AI in healthcare over the next decade.“In 10 years, we will definitely have adoption on notes for things that Physicians don’t want to do.”26:32Nov 10, 2023
