AI could turn every surgical patient into an 'information donor'

"It would be like having all of the wisest people in the room do a tumor board.”

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Large language models (LLMs) can extract structured data from electronic medical records, increasing the patient data available for clinical research.
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Dr. Weight's framework aims to make every surgical patient an 'information donor' by improving data capture during operations.
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Manual data collection is time-consuming and often results in variability, with only 1% to 5% of patients contributing to clinical research data.
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LLMs demonstrated over 98% agreement with manually collected data, showing high accuracy in extracting clinical information.
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Using LLMs could reduce the error rate in outcomes collection and provide quicker feedback to surgeons, enhancing surgical decision-making.

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