Operational Intelligence at Hospital Scale.
From bed management to revenue cycle, our AI orchestration layer keeps every department running at peak efficiency — without adding operational overhead.
Hospital Operations Dashboard
AI Alert
6C ICU projected at 103% capacity by 18:00 — recommend activating overflow protocol
The Problem
Hospitals run on spreadsheets and gut feel
- Bed shortages cause boarding, diversions, and poor patient outcomes
- Manual staffing decisions lag 12+ hours behind actual patient census
- Supply chain waste costs the average IDN $11M per year
- Revenue leakage from undercoded and missed diagnoses goes undetected
The Solution
A real-time AI brain for your operations
- Predictive capacity model with 8-hour forecast horizon
- Dynamic staffing recommendations updated every 4 hours
- Consumption-based supply forecasting by department and procedure
- Encounter-level revenue review before every claim submission
Capabilities
Built for Every Department
Intelligent Bed Management
Predict bed availability up to 6 hours in advance. Automate discharge planning, transfer routing, and capacity alerts across all units.
Predictive Staff Scheduling
Match staffing levels to predicted patient acuity in real time. Reduce overtime costs while maintaining safe nurse-to-patient ratios.
Supply Chain Forecasting
Predict supply consumption by department, procedure, and season. Eliminate stockouts and reduce carrying costs by up to 23%.
Revenue Cycle Intelligence
Surface coding gaps, prior authorization risks, and denial patterns before they become write-offs. Improve net revenue without adding headcount.
Surgical Scheduling AI
Optimize OR block utilization, predict case durations, and reduce first-case delays with machine learning trained on your historical data.
Compliance Automation
Continuous monitoring against Joint Commission, CMS, and payer requirements. Auto-generate audit-ready documentation and flag risks before surveys.
AI Architecture
ADT & EHR
Data Aggregation
Demand Modeling
Optimization
Action Output
Use Cases
Bed Management
Our predictive capacity model ingests ADT feeds, procedure schedules, and historical census data to forecast bed demand by unit up to 8 hours ahead. Charge nurses receive actionable bed assignments — not raw data.
Learn how it works34%
Reduction in boarding time
8h
Forecast horizon
91%
Prediction accuracy
Ready to Redefine Healthcare?
Start with a personalized demo — see Curely AI in your environment.