AI Agents to Manage Hospital Operations

- The system's foundation is a "digital twin" of the hospital created by fusing data from electronic health records (EHR) with signals from a Real-Time Location System (RTLS). This RTLS infrastructure utilizes Internet of Things (IoT) devices to track the real-time location of staff, patients, and equipment. - Kontakt.io, founded in 2013 by CEO Philipp von Gilsa, has raised a total of $69.1M in funding. A significant Series C round of $47.5 million was led by Goldman Sachs Asset Management to fuel the development of these AI solutions and expand in the U.S. - The AI suite includes specialized agents like the "Access Agent," which aims to optimize outpatient clinics and is projected to increase annual revenue per exam room by up to $34,000. Another, the "Patient Flow Agent," is estimated to save a 200-bed hospital up to $4 million annually by increasing early discharges and reducing patient length of stay. - The "Supply Chain Agent" addresses a major operational bottleneck: nurses spending 21 to 60 minutes per shift searching for equipment. By predicting equipment demand from EHR and location data, the agent orchestrates the delivery of assets to where they are needed before a manual search begins. - This technology enters a rapidly growing market for AI in healthcare, which some analysts project will grow from around $1.11 billion in 2025 to $6.92 billion by 2030, a compound annual growth rate of 44.1%. This growth is driven by pressures on health systems from workforce shortages and rising patient volumes. - The company's underlying technology has been developed over years of specializing in indoor location services. Since its founding, Kontakt.io has deployed millions of IoT devices and served tens of thousands of users, establishing a hardware and data foundation for its current AI-driven offerings.