The Covid-19 pandemic has triggered a significant push towards the digitalization of the Italian healthcare system. The National Recovery and Resilience Plan (PNRR) has designed a Digital Health national platform that is implemented based on microservices. However, the technological heterogeneity of healthcare companies poses difficulties in using a common healthcare platform in terms of interoperability. The first issue is selecting, for each health protocol, the basket of medical systems to be adopted, which must be compatible with this infrastructure and appropriate for the operating context. In this article, the authors propose a methodology to select healthcare systems based on axiomatic design and MCDA techniques. The expected result is to identify, in the first phase, the set of functionally acceptable solutions, and in the second phase, to select the most suitable basket based on evaluation criteria that are not necessarily functional.

A Combined Axiomatic Design-MCDA Method for Selecting Medical Systems Operating on a Common Telemedicine Platform

Arcidiacono G;
2024-01-01

Abstract

The Covid-19 pandemic has triggered a significant push towards the digitalization of the Italian healthcare system. The National Recovery and Resilience Plan (PNRR) has designed a Digital Health national platform that is implemented based on microservices. However, the technological heterogeneity of healthcare companies poses difficulties in using a common healthcare platform in terms of interoperability. The first issue is selecting, for each health protocol, the basket of medical systems to be adopted, which must be compatible with this infrastructure and appropriate for the operating context. In this article, the authors propose a methodology to select healthcare systems based on axiomatic design and MCDA techniques. The expected result is to identify, in the first phase, the set of functionally acceptable solutions, and in the second phase, to select the most suitable basket based on evaluation criteria that are not necessarily functional.
2024
Axiomatic design
information entropy
Healthcare digital transition
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14241/1953
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