Great reading about how the patients and doctors could benefit from technology by ensuring the results delivered by the system meet the high trust bar
The CURE technique has proven useful for synthesizing new patient records too. Outside records detailing patients’ complex problems can have “reams” of data content in different formats, Callstrom explained. This needs to be reviewed and summarized so that clinicians can familiarize themselves before they see the patient for the first time.
“I always describe outside medical records as a little bit like a spreadsheet: You have no idea what’s in each cell, you have to look at each one to pull content,” he said.
But now, the LLM does the extraction, categorizes the material and creates a patient overview. Typically, that task could take 90 or so minutes out of a practitioner’s day — but AI can do it in about 10, Callstrom said.
He described “incredible interest” in expanding the capability across Mayo’s practice to help reduce administrative burden and frustration.
While the consequences of hallucinations are not nearly as catastrophic in other industries, there is a barrier to adoption that can be overcome in the same way. I am regular user of GenAI as a productivity tool for my job and have learned to use it a trust and verify mode at all times. Even with proven gains, getting broader acceptance has proven difficult so far for a variety of reasons but losing professional credibility is the most significant one.
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