Generative AI is a known disruptor in healthcare today. Will this transformational technology be embraced by clinicians, patients, and healthcare organizations? Listen in as two experts from Accenture Healthcare and Oracle discuss the difference between traditional AI and GenAI, the opportunities that GenAI is presenting to the industry, and the need to lean in to utilize technology as an enabler and a change agent. Hear how care delivery can be reimagined with GenAI and how this technology has the potential to be applied to help reduce clinician burnout, augment the clinician-patient relationship, bridge workforce shortage gaps, reduce margin pressure, and more. -------------------------------------------------------- Episode Transcript 00:00:00:17 - 00:00:22:10 Michelle You're listening to Perspectives on Health and Tech, a podcast by Oracle with conversations about connecting people, data and technology to improve health for everyone. Hi, I'm Michelle Flemings. I'm the industry executive director for Health Care for North America Cloud Infrastructure at Oracle. Glad that you're here. We're in the age of artificial intelligence. 00:00:22:12 - 00:00:41:29 Michelle The opportunities that we're presented with using A.I. as an industry are truly groundbreaking. And to be honest, I think we're just getting started. I want to focus today on a subset of traditional AI and want to talk a little bit about generative AI, some of the ramifications, some of the risks, benefits and what does it mean to health care. 00:00:42:01 - 00:00:47:29 Michelle I am delighted to sit across today from Tej Shah and I'll have him introduce himself. 00:00:48:01 - 00:01:08:00 Tej Thanks, Michelle Tej Shah I'm an emergency medicine doctor, a managing director, and Accenture's global health care practice. I've got a ton of experience working across different parts of health care as a consultant, obviously, but also as a venture capitalist, investing in companies and most recently starting a company in the health tech space. 00:01:08:00 - 00:01:16:07 Michelle We're talking about AI and we always have to start with what is the comparison between traditional versus generative AI? 00:01:16:09 - 00:01:17:21 Michelle How would you put that? 00:01:17:23 - 00:01:41:11 Tej We've been talking about AI for 50 plus years. This is not a new thing. We've been talking about how we can leverage data to get insights going from analytics to AI to  GenAI. Really the difference is, you know, before with AI we were able to extract data and insights from data so we could figure out what the next obvious data point was going to be. 00:01:41:13 - 00:02:19:03 Tej And in 2017 there was an article that was published by Googlers around attention is all that matters, right? And what happened with that papers is we came up with a completely new framework where we're now able through  GenAI to not just predict what's the next data point, but understand what's the next word that we can generate. And it's taking into consideration the context of the sentence to be able to make that prediction so that it's actually appropriate and it's opened up a whole bunch of opportunities that we're going to talk about today that is really transformative. 00:02:19:05 - 00:02:30:03 Michelle Let's get into some of those opportunities. I think it's fascinating that it's been as  long ago that A.I. came about and the general public really doesn't know. 00:02:30:03 - 00:02:35:14 Michelle let's talk about some of the opportunities in patient care that exists because of where we are now. 00:02:35:14 - 00:02:40:28 Michelle With A.I.. We do a lot around documentation. Where else should we be going? 00:02:41:00 - 00:03:08:03 Tej Back in 1996, you know, we started using search engines and it wasn't really until early 2000 when Google came around and the search bot search box became our librarian and around that time there was an article that was published by Will Carr i