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Anthony DiGiorgio, DO, MHA
This could actually be great. Right now we pay people to comb through a very fragmented medical record and piece together a cohesive picture. They often fail. This could change all that. I’m cautiously optimistic.
OpenEvidence@EvidenceOpen

Until now, physicians using AI in clinic had to assemble the patient’s context themselves. Allergies, comorbidities, medications, prior procedures, copy-pasted in from the chart. Today we’re announcing a partnership with @CedarsSinai. OpenEvidence now works directly inside Epic, drawing on the patient’s full record and interpreting the medical literature through the lens of that specific patient. Cedars-Sinai is the first academic health system to deploy patient-aware clinical intelligence at enterprise scale. The clinician asks a complex question in natural language. The answer reflects both the best available evidence and the patient in front of them. Patient data is never stored after the clinical session or used for any other purpose.

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Austin Meyer
Austin Meyer@austingmeyer·
@DrDiGiorgio @EvidenceOpen This sort of AI is built into Epic at our institution now. It makes hospital courses, daily insights, chart reviews, give specific citations in the chart and links them to specific notes.
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