This is like an air-traffic control tower for hospitals that uses AI to watch every bed, patient movement, and bottleneck in real time, then recommends what to do next so patients don’t sit waiting in hallways or ERs.
Hospitals struggle with clogged patient flow—long ER wait times, slow admissions from the ED, delayed discharges, and poor bed utilization—because staff have to manually coordinate complex logistics across departments.
Tight embedding into hospital operations and TeleTracking’s existing bed management and capacity management workflows, combined with proprietary operational and throughput data from client hospitals.
Hybrid
Time-Series DB
High (Custom Models/Infra)
Data integration and data quality across EHRs and hospital operational systems; real-time ingestion and latency constraints for large hospital networks.
Early Majority
Positions AI specifically around patient throughput and operational decision support rather than generic analytics, with a focus on real-time bed management, capacity visibility, and prescriptive recommendations for hospital flow teams.