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Critical care resources in surge response: towards real-time situation awareness
Journal article   Open access   Peer reviewed

Critical care resources in surge response: towards real-time situation awareness

Reem Abbas, Biswash Paudel, Lily Yee, Roopak Sinha and Dave Parry
Journal of the Royal Society of New Zealand, Ahead of print
2024
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CC BY-NC-ND V4.0 Open Access

Abstract

Critical care resources surge response real-time situation awareness automation UHF-RFID
In large-scale emergencies and disasters, real-time situation awareness around health resources can be lifesaving. Understanding the situation at hand, the pressing needs and the actions needed often using information systems that require manual data entry. Relying on humans to enter data manually during surge response is both error-prone and an impediment to the critical requirement of real-time situation awareness. This paper explores the potential of Ultra-High Frequency Radio Frequency Identification (UHF RFID) technology to automate the process of manual data entry followed in providing situation awareness related to critical care resources during surge response. Using design science, an RFID-based prototype was developed to identify and track intensive care resources in real-time. The system was tested in a simulated hospital ward environment to understand deployment challenges and a dashboard was developed to reflect real-time data from multiple sources simultaneously. When properly deployed, UHF RFID can be a viable approach to automating critical care reporting during surge response. Automating routine processes can enhance data quality and minimise workload on health professionals leading to better patient care and evidence based decision-making.

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UN Sustainable Development Goals (SDGs)

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Collaboration types
Domestic collaboration
International collaboration
Citation topics
4 Electrical Engineering, Electronics & Computer Science
4.187 Security Systems
4.187.1634 RFID Security
Web Of Science research areas
Engineering, Electrical & Electronic
ESI research areas
Clinical Medicine
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