TAGNOS is a comprehensive healthcare workflow orchestration platform designed to improve operational efficiency, patient throughput, and asset utilization in hospitals and healthcare facilities. It leverages a powerful combination of Real-time Location Systems (RTLS), Artificial Intelligence (AI), and a robust interoperability engine to provide real-time situational awareness and automate critical clinical and logistical workflows.
The platform is structured into key 'Orchestration' modules:
- OR Orchestration: Optimizes Operating Room (OR) efficiency by accelerating room turnover, improving first-case on-time starts (FCOTS), and increasing overall room utilization. It provides real-time insights into the surgical schedule and milestones.
- ED Orchestration: Enhances Emergency Department (ED) care by streamlining patient flow, reducing 'Left Without Being Seen' (LWBS) cases, and speeding up treatment times through better staff communication and real-time data insights.
- Asset Orchestration: Simplifies hospital asset and supply chain management. This includes Asset Visibility (using BLE and passive RFID for real-time location), Asset Management (combining location with maintenance and rental workflows), and Surgical Tray Visibility (using RFID for end-to-end tracking of sterile trays).
Key Capabilities & Technology: TAGNOS integrates seamlessly with existing hospital systems, including Electronic Health Records (EHR/EMR), EDIS, ORIS, ADT, nurse call, and capacity management systems, utilizing an HL7 open architecture and flexible, bidirectional APIs. The core technology includes a Location Service (supporting various RTLS technologies like Wi-Fi, BLE, and RFID), an AI/Machine Learning Engine for developing workflows and actionable insights, and a Communication Service that pushes customizable alerts and updates to staff mobile devices and patient/family dashboards. The solution is designed to be HIPAA compliant, ensuring patient data privacy while improving satisfaction through automated family updates on patient status.
