A platform for inpatient safety management based on iot technology

There is a need to integrate advancements in biomedical, information, and communication technologies with care processes within the framework of the inpatient safety program to support effective risk management of adverse events occurring in the hospital environment and to improve inpatient safety. In this respect, this work presents the development of a software platform using the Scrum methodology and the integrated technology of the Internet of Things for monitoring and managing inpatient safety. A modular solution is developed under a hexagonal architecture, using PHP as the backend language through the Laravel framework. A MySQL database was used for the data layer, and Vue.js was used for the user interface. This work implemented an RFID-based nurse call system using Internet of Things (IoT) concepts. The system enables nurses to respond to each inpatient within a given time limit and without the inpatient or a family member having to approach the nursing station. The system also provides reports and indicators that help evaluate the quality of inpatient care and helps to take measures to improve inpatient safety during care. In addition, diet management is integrated to reduce the occurrence of adverse events. A LoRa and Wi-Fi-based IoT network was implemented using a LoRa transceiver and the ESP32 MCU, chosen for its low power consumption, low cost, and wide availability. Bidirectional communication between hardware and software is handled through an MQTT Broker. The system integrates temperature and humidity sensors and smoke sensors, among others.

• Autores: ARRIETA RODRIGUEZ, EUGENIA LUZ; Murillo, Luis; Castañez Orta, Gustavo; Rivas Horta, Ana Milena; Baldovino Barco, Carlos; Jimenez Barrionuevo, Kelly; Cama-Pinto, Dora; Arrabal Campos, Francisco Manuel; Martínez Lao, Juan Antonio; Cama-Pinto, Alejandro
• Tipo de recurso: Article of journal
• Fecha de publicación: 2022
• Institución: Corporación Universidad de la Costa
• Repositorio: REDICUC - Repositorio CUC
• Idioma: eng
• OAI Identifier: oai:repositorio.cuc.edu.co:11323/9743
• Acceso en línea: https://hdl.handle.net/11323/9743; https://repositorio.cuc.edu.co/
• Palabra clave: Inpatient safety; IoT; Adverse event; Hexagonal architecture
• Rights: openAccess
• License: Atribución 4.0 Internacional (CC BY 4.0)