A Context-Aware Framework to Manage the Priority of Injured Persons Arriving at Emergencies

Abstract

The integration of Internet of Medical Things (IoMT) in Hospital system has modified the traditional medical service as a reactive system based on hospitalization and diseases to a preventive and interoperable system based mainly on the interactive data flow between patient and health professionals. Using medical connected objects (MCOs), medical data is collected and processed. According to gathered data, the new medical system should be able to sort patient states based on urgent and critical vital signs, and consequently priorities are defined. In this paper, we direct our attention to manage priority in hospital emergencies in order to adapt dynamically operations and interactions with different stakeholders according to the changes in their execution context. Indeed, based on data sensed from MCOs implemented in ambulances, emergency rooms might be prepared to receive injured persons like victims of road accidents or other incidents. Therefore, we design a context-aware monitoring framework for injured people based on gathered medical data to manage priorities.

Combining IoMT and XAI for Enhanced Triage Optimization: An MQTT Broker Approach with Contextual Recommendations for Improved Patient Priority Management in Healthcare

“…• Remote data and information exchange risk mitigation and appropriate medical facilities [19] Effectively handling prioritization in hospital emergencies involves adjusting dynamic operations and interactions with various stakeholders in response to changes in their execution context.…”

“…By integrating triage and recommender systems into the IoMT ecosystem [23], healthcare providers can efficiently prioritize and manage urgent data from connected devices. This integration improves patient outcomes, reduces response times, and improves healthcare interventions [19]. Figure 2 presents the main architecture of our proposed framework.…”