Developing Reliable Digital Healthcare Service Using Semi-Quantitative Functional Resonance Analysis

Abstract

Since entering the era of Industry 4.0, the concept of Healthcare 4.0 has also been put forward and explored by researchers. How to use Information Technology (IT) to better serve people's healthcare is one of the most featured emerging directions in the academic circle. An important field of Healthcare 4.0 research is the reliability engineering of healthcare service. Because healthcare systems often affect the health and even life of their users, developers must be very cautious in the design, development, and operation of these healthcare systems and services. The problems to be solved include the reliability of business process, system functions, and personal healthcare data. The Functional Resonance Analysis Method (FRAM) has been applied in reliability engineering for safety-critical systems in available studies, using both qualitative and quantitative approaches. However, the method has not been applied in the field of digital healthcare services development. Therefore, to narrow the gap, we present in this paper a semi-quantitative functional resonance analysis method to develop reliable healthcare services for diabetics. Moreover, this paper has tried to improve the reliability design of the service-oriented architecture (SOA) of traditional insulin pump therapy by system thinking.

A Resilience Engineering Approach for the Risk Assessment of IT Services

“…It must be noted that also in the latter context, recent cases of failures and malfunctioning have caused significant problems: for example, the fire that seriously damaged Europe's largest cloud services firm, OVHcloud, in 2021 [27], or the outage that occurred in 2021, which involved one of the major Content Delivery Network (CDN) providers [28]. Similarly, several authors pointed out the need to use a resilience engineering approach to augment risk analysis of IT services in the healthcare domain, where system failure must be rigorously avoided [29,30]. Moreover, it must be noted that IoT technologies attract great interest from cybercriminals; consequently, as observed by Zhou et al [31], the potential for significant damage to an enterprise network can be substantial.…”