This paper presents a framework for interoperable hospital monitoring systems aimed at the early detection of patient deterioration during hospitalization. By integrating IoT-enabled sensors with containerized microservices, the system continuously monitors vital signs in real time. The proposed architecture enhances healthcare efficiency by automating data acquisition, processing, and alert generation, supporting evidence-based clinical decisions, and reducing reliance on manual monitoring. This approach is particularly beneficial in scenarios with limited staff availability, such as weekends or outlier admissions, and in managing infectious diseases cases, where timely monitoring and response are critical. The hospital deployment of patient monitoring deterioration solutions requires a collaborative network to design, develop and integrate the solutions. The framework incorporates scalable and low-cost hardware that uses open-source platforms like Node-RED and Docker for interoperability across devices, platforms, servers, and databases. By enabling predictive analytics, the solution improves patient outcomes, optimizes hospital resource use, and supports the transition toward smart healthcare systems. The design is proposed for medium-sized hospitals to ensure broad adoption and long-term sustainability.

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Interoperable Tools for Deploying Patient Deterioration Collaborative Monitoring During Hospitalization

  • Joan Lario,
  • Miguel Ángel Mateo,
  • Llanos Cuenca,
  • Angel Ortiz

摘要

This paper presents a framework for interoperable hospital monitoring systems aimed at the early detection of patient deterioration during hospitalization. By integrating IoT-enabled sensors with containerized microservices, the system continuously monitors vital signs in real time. The proposed architecture enhances healthcare efficiency by automating data acquisition, processing, and alert generation, supporting evidence-based clinical decisions, and reducing reliance on manual monitoring. This approach is particularly beneficial in scenarios with limited staff availability, such as weekends or outlier admissions, and in managing infectious diseases cases, where timely monitoring and response are critical. The hospital deployment of patient monitoring deterioration solutions requires a collaborative network to design, develop and integrate the solutions. The framework incorporates scalable and low-cost hardware that uses open-source platforms like Node-RED and Docker for interoperability across devices, platforms, servers, and databases. By enabling predictive analytics, the solution improves patient outcomes, optimizes hospital resource use, and supports the transition toward smart healthcare systems. The design is proposed for medium-sized hospitals to ensure broad adoption and long-term sustainability.