Hospital environments are becoming more and more complex due to technological advancements. The allocation of resources, especially during events like the SARS-CoV-2 pandemic, is becoming crucial, leading Clinical Engineering and Health Technology Management professionals to adopt evidence-based strategies for maintaining the reliability of medical equipment. Real-World Data (RWD) is leveraged to generate Real-World Evidence for assessing the effectiveness and safety of health technologies. Evidence-based maintenance, a systematic process crucial for superior healthcare services, uses empirical RWD to identify effective maintenance strategies. The study aims to propose a standardized XML schema for data exchange, linking maintenance activities with hospital systems while incorporating maintenance data classification. This approach aims to overcome data-sharing challenges while providing insights into maintenance effectiveness and assessment.
Luschi, A., Crapanzano, F., Satta, F., Sani, L., Iadanza, E. (2024). Proposal of an XML Standard Protocol for Evidence-Based Medical Equipment Maintenance. In IFMBE Proceedings (pp.245-251) [10.1007/978-3-031-61628-0_26].
Proposal of an XML Standard Protocol for Evidence-Based Medical Equipment Maintenance
Luschi, Alessio;Iadanza, Ernesto
2024-01-01
Abstract
Hospital environments are becoming more and more complex due to technological advancements. The allocation of resources, especially during events like the SARS-CoV-2 pandemic, is becoming crucial, leading Clinical Engineering and Health Technology Management professionals to adopt evidence-based strategies for maintaining the reliability of medical equipment. Real-World Data (RWD) is leveraged to generate Real-World Evidence for assessing the effectiveness and safety of health technologies. Evidence-based maintenance, a systematic process crucial for superior healthcare services, uses empirical RWD to identify effective maintenance strategies. The study aims to propose a standardized XML schema for data exchange, linking maintenance activities with hospital systems while incorporating maintenance data classification. This approach aims to overcome data-sharing challenges while providing insights into maintenance effectiveness and assessment.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11365/1263195
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