Abstract
New communication technologies and development of increasingly advanced systems for remote assistance create important opportunities related to the spread of e-health systems and devices for health monitoring and healthcare integration. Despite the increasingly widespread use of Remote Patient Monitoring (RPM) systems, especially in presence of chronic diseases, users’ needs and requests are often disregarded due to poor customization of solutions. This is mainly due to the lack of truly interoperable tools allowing for horizontal integration between the various medical and specialized instruments. The proposed model works as a useful approach to ensure that the development of new solutions shall be partially guaranteed. The Axiomatic Design method is a suitable tool to identify the best solutions to meet users’ needs.
Highlights
Long-term sustainability of health care provision raises serious concerns, due to increase in chronic diseases and gradual aging of population, which is making the provision of healthcare assistance more and more burdensome
This article deals with the methodology of ObjectOriented Analysis and Design (OOAD) within the Axiomatic Design (AD) approach [19], applied to the design of a software that is able to find the best solution for customizing Remote Patient Monitoring solutions (RPM) systems starting from basic interoperable elements
Socio-economic convergence and development of reliable remote communications technology and devices make the prospect of massive introduction of RPM systems in healthcare sector very interesting
Summary
Long-term sustainability of health care provision raises serious concerns, due to increase in chronic diseases and gradual aging of population, which is making the provision of healthcare assistance more and more burdensome. Developing a network, which provides the integration of health and social services with interoperable devices/systems, works as an optimized resource management tool This network contributes to make the healthcare more tailored to the patient, and to develop a more efficient and widespread prevention system. This article addresses the development of RPM solutions, clustered depending on users’ needs, by means of a holistic approach In this case, the AD methodology is an excellent help, especially in presence of a complex system, to analyze and transform Customer Needs (CNs) into Functional Requirements (FRs) and Design Parameters (DPs). An application of the axiom of information is hereby proposed, using the Function Point Technique [2,3,4,5,6,7] This methodology is used to measure the information content of FRs and DPs mutual relationships. In this complex environment, it is possible to develop the most robust solution among the many ones that are possible thanks to AD methodology; among all of them, AD allows to choose the one that better meets the needs expressed by the users
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