The digitalization of hospital environments poses the challenge of integrating technological solutions that improve operational efficiency and ensure patient safety. In this context, the present work describes the design and implementation of a wireless communication network based on LoRa technology, oriented toward remote monitoring and control of critical variables in hospital infrastructure. The proposed architecture integrates distributed sensors for continuous supervision of environmental parameters, energy consumption, and medical gas supply, integrated through an ad hoc developed IoMT management platform. The results obtained in the first deployment phase validate the technical and operational feasibility of the system, evidencing improvements in storage condition traceability, early detection of anomalies in critical systems, and generation of strategic information for hospital management. Additionally, the implemented network infrastructure demonstrates high scalability potential, enabling future extensions toward new variables and applications. This approach constitutes a significant step toward building smart hospitals, promoting proactive, efficient, and safe management in healthcare environments.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Implementation of a LoRa Network for Remote Monitoring and Control in Hospital Environments: An IoMT Approach for Energy and Operational Efficiency

  • Francisco Madrid,
  • Sergio Ponce,
  • Debora Rubio,
  • Lucia Forni,
  • Cecilia Dupuy,
  • David Piccinini,
  • Lautaro Acosta

摘要

The digitalization of hospital environments poses the challenge of integrating technological solutions that improve operational efficiency and ensure patient safety. In this context, the present work describes the design and implementation of a wireless communication network based on LoRa technology, oriented toward remote monitoring and control of critical variables in hospital infrastructure. The proposed architecture integrates distributed sensors for continuous supervision of environmental parameters, energy consumption, and medical gas supply, integrated through an ad hoc developed IoMT management platform. The results obtained in the first deployment phase validate the technical and operational feasibility of the system, evidencing improvements in storage condition traceability, early detection of anomalies in critical systems, and generation of strategic information for hospital management. Additionally, the implemented network infrastructure demonstrates high scalability potential, enabling future extensions toward new variables and applications. This approach constitutes a significant step toward building smart hospitals, promoting proactive, efficient, and safe management in healthcare environments.