Two longtime friends are spearheading the use of general artificial intelligence in health systems nearly 900 miles apart.
Cleveland Clinic Chief Information Officer Matthew Kull and Jacksonville, Florida-based Chief Information and Digital Officer Aaron Miri are partnering with Microsoft to conceptualize clinical and administrative functions for GPT-4 at their institutions. Microsoft invested $10 billion in OpenAI, the company that developed GPT-4 and ChatGPT, in January.
“When Aaron and I talked, it made sense: Let’s see how far we can push this in the shortest amount of time available,” says Kull.
Related: Everything you need to know about ChatGPT in healthcare
Healthcare delivery organizations, which are often slow to adopt technology, are rolling out tools powered by general artificial intelligence at breakneck speed. Vendors and investors are excited about the potential: Electronic health records giant Epic Systems is rolling out generalized AI functionality into its EHR, the company said in April. Microsoft subsidiary Nuance Communications, a clinical documentation software company, said in March that it was integrating GPT-4 voice-to-text capabilities into the EHR. Two venture capital firms, General Catalyst and Andreessen Horowitz, gave $50 million to an innovative AI company without a product on Tuesday.
At the same time, industry stakeholders—and AI developers—have expressed concerns about the privacy and safety of the tools. OpenAI CEO Sam Altman said at a congressional hearing on Tuesday that AI needs to be regulated by the government.
Kull and Miri, who are working together on use cases, say they’re looking to responsibly deploy generic AI tools when they hit the gas pedal. In the past, innovation at health systems could take years, but coming up with the idea for how to use GPT-4 and create a proof of concept happened in a matter of weeks, Kull said.
“In about 30 days, we have a product that both of our teams are working to bring into the workflow and in partnership with their respective clinician pioneers,” says Miri. me,” Miri said.
At the 22-hospital Cleveland Clinic, Kull’s team in partnership with Microsoft developed three specific use cases for the technology: summarizing large volumes of data from patient graphs for substance registration reports quality, extract discrete information from clinical reports, and write code to build programs that can quickly integrate health applications with electronic health records. Kull said clinical use cases are likely to come out in the summer, while the ability to code could be in use sooner.
At seven Baptist hospitals, Miri’s team also developed three use cases: providing administrative support by summarizing meetings, analyzing data and records to provide diagnostic and retrieval information. relevant information from big data sources. Miri said he hopes to test use cases in select locations by the end of the summer.
“I see [these use cases] at a Baptist leadership retreat and all the doctors said, ‘Ultimately, this is what we’re looking for,'” Miri said.
