March Health is an AI-powered platform that creates patient-level digital twins to help hospital teams reduce avoidable readmissions, prevent hospital-acquired harm, and contain episode spend while preserving clinician control. The platform uses a multi-agent architecture where specialized AI agents monitor infection risk, readmission risk, and safety events, and assist with discharge planning and documentation. It integrates with Epic, Cerner, and other EHRs using FHIR/HL7 standards without disrupting existing workflows. The digital twin combines medical history, labs, imaging, and real-time data to deliver next-best-action recommendations inside the EHR. The system is trained on over 3 million de-identified patient records and 50 billion clinical data points from EHR, imaging, genetics, and labs. March Health claims to reduce 30-day readmissions by up to 15%, decrease unnecessary tests and procedures by 8–12%, save clinicians 30–45 minutes per shift, and achieve go-live in under 90 days with measurable ROI in 6–12 months. The platform was developed with Mayo Clinic's expert curation and meets FDA Clinical Decision Support guidelines, HIPAA, and SOC 2 standards.
Key Features
- Multi-agent digital twin combining multimodal patient data
- Real-time decision support with guideline-based alerts inside the EHR
- Patient-centric engagement tools including digital coaching and ambient AI
- Continuous learning and adaptation from new data and clinical evidence
- Rigorous validation and compliance with FDA, HIPAA, and SOC 2
Who It's For
Hospitals and healthcare organizations facing workforce shortages, clinician burnout, and value-based reimbursement pressures.
Key Benefits
- Reduces 30-day readmissions by up to 15%
- Decreases unnecessary tests and procedures by 8–12%
- Saves clinicians 30–45 minutes per shift on documentation and admin tasks
- Go-live in <90 days with measurable ROI in 6–12 months
