People&Technology (PNT), a specialist provider of AI/DX-based smart hospital service platforms, announced that through a strategic partnership with Dong-A ST (CEO Jae-hoon Jung), it has deployed a real-time patient monitoring solution at Nazareth International Hospital (Hospital Director Jae-young Lee). This deployment spans the intensive care unit and the general wards on floors 6 through 9, covering a total of 282 beds, implementing an integrated monitoring system that brings together intensive care and general ward settings under a single platform.
Located in Yeonsu-gu, Incheon, Nazareth International Hospital serves as a hub hospital meeting the medical needs of local residents. Through this deployment, the hospital has strengthened 24-hour intensive monitoring for ICU patients and expanded real-time patient monitoring to its general wards, raising the overall standard of patient safety management across the hospital.
The deployed solution collects key vital sign data — including ECG, heart rate, and oxygen saturation — in real time through the patch-type wearable ECG device "HiCardi" and the portable pulse oximeter "Nonin." The collected data is transmitted via an electronic nameplate, which serves as both a bedside information display and an IoMT gateway, to People&Technology's smart hospital platform, "IndoorPlus+ SmartCare," for integrated management.
- A plug-in gateway structure that enables quick and simple installation without any changes to existing hospital infrastructure
- Integrated monitoring that covers not only patients' vital sign data but also in-room location and movement information
- A vendor-neutral platform structure that is not tied to any specific manufacturer, allowing flexible expansion with a range of devices and systems as the hospital's operating environment evolves
With this deployment, medical staff at Nazareth International Hospital can now monitor patient vital sign data across all 282 beds in real time on a single platform, enabling immediate alerts and rapid response whenever abnormal signs are detected.
