March Health

March Health is an AI-powered digital twin platform built for hospitals and health systems. It connects to existing electronic health records (EHRs) like Epic and Cerner, then builds a patient-level digital twin that combines medical history, lab results, imaging, and real-time data. The platform uses multiple specialized AI agents to monitor risks—such as readmission, infection, and safety events—and delivers actionable recommendations directly inside the clinician's workflow. The goal is to help hospitals reduce avoidable readmissions, prevent hospital-acquired harm, and control episode spending, all while keeping clinicians in charge.

The platform works in five steps: connect to the EHR, build the digital twin, deploy multi-agent support, provide real-time guidance, and continuously improve from outcomes. Each AI agent has a specific job—one watches for infection risk, another flags readmission risk, others assist with discharge planning and documentation. Recommendations appear inside the EHR so clinicians don't have to switch tools. March Health claims it can go live in under 90 days and deliver measurable ROI within 6 to 12 months. The system is trained on over 50 billion clinical data points and 3 million patient records, and it was developed with input from Mayo Clinic. It meets FDA Clinical Decision Support guidelines and is HIPAA, GDPR, and SOC 2 compliant.

This tool is best suited for hospital administrators, quality improvement teams, and clinicians who want to reduce penalties from CMS programs like the Hospital Readmissions Reduction Program and the Hospital-Acquired Condition Reduction Program. It's also useful for health systems moving toward value-based care models. Real-world use cases include cutting 30-day readmission rates by up to 15%, decreasing unnecessary tests by 8–12%, and saving clinicians 30–45 minutes per shift by automating documentation. If your hospital is looking for a practical way to improve patient outcomes and protect reven...