Point-of-care AI · Active
All researchIn-hospital deterioration prediction (EHR)
The Northwell In-hospital Deterioration Model (NIDM) is an EHR-based deep learning model that continuously estimates a patient's risk of a deterioration event, unplanned ICU transfer, intubation, or death, within the next 48 hours from routinely collected electronic health record data. Deployed in silent mode inside Northwell's Epic environment for prospective monitoring, NIDM is built to surface the patient-specific factors behind each prediction, so care teams see not only who is at rising risk but why, early enough to act.
3 researchers0 publications
Hansen et al., training and retrospective validation of NIDM, under review at IEEE BHI 2026. Patel et al., systematic review and meta-analysis of Epic clinical decision support tools, under review at the Journal of General Internal Medicine.
Point-of-care AIDivision of Health AI
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