The MedicalFlo Story
MedicalFlo started as an internal project at uFlo.ai to solve a specific problem: hospital patient flow is a coordination nightmare that costs billions annually. Today it's a full platform serving multi-hospital networks.
Architecture
MedicalFlo uses a multi-agent swarm architecture:
- Prediction Agent: Forecasts patient arrivals using historical data, weather, events, and epidemiological signals
- Bed Manager Agent: Continuously optimizes bed allocation across departments based on acuity and predicted discharges
- Scheduling Agent: Coordinates care team schedules considering skills, availability, union rules, and patient needs
- Documentation Agent: Assists with clinical note generation from encounter data
- Supply Agent: Monitors inventory levels and triggers reorders before shortages
These agents communicate through a shared state layer, enabling real-time coordination without a central bottleneck.
Key Technical Decisions
- HIPAA-first architecture: Every component designed for compliance from day one, not retrofitted
- EHR integration: Native connectors for Epic, Cerner, and MEDITECH
- Edge deployment option: Can run on-premise for organizations with strict data residency requirements
- Explainable decisions: Every agent action includes a human-readable justification
Results Summary
| Metric | Before | After | Improvement |
|--------|--------|-------|-------------|
| ER Wait Time | 45 min | 26 min | 42% reduction |
| Bed Utilization | 62% | 89% | 44% increase |
| Admin Time/Clinician/Day | 3+ hours | <1 hour | 67% reduction |
| Annual Operational Cost | Baseline | -$4.2M | Significant savings |
What's Next
We're expanding MedicalFlo's capabilities into predictive readmission risk scoring, automated prior authorization, and population health management.
