This is like an air-traffic-control tower for hospital patients that uses AI instead of clipboards and phone calls. It watches every patient’s status in real time, predicts who will be ready to leave and when, and nudges staff to complete the right tasks so beds free up faster and safely.
Hospitals struggle with bottlenecks: slow discharges, full beds, ER boarding, and manual coordination between nurses, case managers, transport, and housekeeping. This AI tool automates tracking patient progress, predicts discharge readiness, and orchestrates the work so patients flow through the hospital faster and more safely, with less manual chasing and fewer delays.
Deep domain workflows in hospital capacity management, integration with hospital operational systems (ADT/bed management/EMR), and proprietary operational datasets on patient flow and discharge patterns accumulated across TeleTracking’s client base.
Hybrid
Structured SQL
High (Custom Models/Infra)
Integration complexity with varied hospital IT systems (EHR, ADT, bed management) and ensuring data quality and real-time accuracy across sites.
Early Majority
Positions itself as an AI-first, end-to-end patient flow and discharge orchestration layer on top of existing EMR and bed management systems, going beyond simple bed tracking to proactive prediction of discharge readiness and task orchestration across multiple hospital departments.