Clinical care and population health
Seeing the readmission coming instead of reading about it after

Clinical and population health teams still assess risk at the point of care, so a patient likely to be readmitted or to deteriorate often isn't flagged until it's already happening. Care gap outreach runs on whoever has time to make the calls.

AI moves the signal earlier. Predictive models score readmission, deterioration, and population health risk from the record you already keep, days ahead of the event. Generative AI drafts the outreach and care gap summaries a care team acts on. Agents keep the gap closure list current as new data arrives. Your clinicians see the risk before it becomes an event, on infrastructure you control.

11 use cases

Chest abnormality detectionChest abnormality detection uses computer vision to flag chest X-rays that may show a heart or lung abnormality, so your radiologists read those studies first and can search similar prior cases.Clinical evidence synthesisClinical evidence synthesis uses AI agents to read new trial results, safety data and published studies, and draft a cited brief that shows consensus findings and gaps for your clinicians to review.

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Clinical care and population healthSeeing the readmission coming instead of reading about it after

One platform. Complete sovereignty. Measurable results.

Clinical care and population health
Seeing the readmission coming instead of reading about it after