March Health

March Health is a hospital-facing clinical AI platform that builds patient digital twins from EHR, lab and imaging data, then runs specialized agents for infection, readmission and safety risk with next-best-action guidance delivered inside the clinician workflow.

March Health is a clinical AI platform built around a patient-level digital twin: a continuously updated model of an individual patient assembled from medical history, labs, imaging and real-time data. Specialized AI agents sit on top of that twin, each watching a different risk surface such as infection, readmission or safety events, while other agents handle discharge planning and documentation. Recommendations surface as next-best-action guidance inside the EHR rather than in a separate dashboard, which keeps the clinician in the decision loop. The product is aimed at hospital leadership and care teams operating under value-based reimbursement. The homepage frames the problem in CMS terms: excess readmission ratios above 1.0 can cut Medicare payments, top-quartile hospital-acquired condition rates trigger a penalty, and a share of payments is withheld and redistributed by Total Performance Score. March Health positions its agents as a way to move those quality and cost metrics, claiming up to a 15% reduction in 30-day readmissions and an 8 to 12% drop in unnecessary tests and procedures, alongside 30 to 45 minutes of clinician time saved per shift. In practice, deployment starts with an EHR connection over FHIR and HL7, covering Epic, Cerner and other systems. The twin is then built per patient and the agent set tuned to the hospital's priorities. The vendor states a go-live window of under 90 days with measurable ROI in 6 to 12 months, and describes outcomes being fed back into the model so recommendations track current evidence. Training data is drawn from more than 3 million de-identified patient records and 50 billion clinical data points spanning MRI, CT, lab tests and clinical notes. Among clinical AI vendors, March Health competes less with note-taking scribes and more with population health and sepsis surveillance suites, differentiating on the digital twin abstraction and an orchestrated multi-agent design. It reports development with Mayo Clinic curation and alignment with FDA clinical decision support guidelines, plus HIPAA, GDPR readiness and SOC 2 Type II. Pricing is not published and is handled through a demo request.