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What is Telehealth Reliability

Handbook of Research on Distributed Medical Informatics and E-Health
Reliability is the probability that software will not cause the failure of the system for a specified time under specified conditions. For the reliability assessment, models exist that present graphically the number of failures of system operation in the time. When users think for software quality they usually mean the reliability on the basis of the existing reliability model: IEEE/ANSI standard 982.2. The code should be reliable according to the deviating views of individuals that develop software, check software or are users of software. A developer-based view focuses on software faults; if the developer has grounds for believing that the system is relatively fault-free then the system is assumed to be reliable. On the other hand a user-based view emphasizes the functions of the system and how often they fail.
Published in Chapter:
Quality and Reliability Aspects in Telehealth Systems
Anastasia N. Kastania (Athens University of Economics and Business, Greece) and Stelios Zimeras (University of the Aegean, Greece)
DOI: 10.4018/978-1-60566-002-8.ch030
Abstract
In this chapter the authors investigate telehealth quality and reliability assurance. Various models and standards can be applied to assess software quality and reliability in telehealth platforms and there are also general principles for total quality management which can be adopted. There are also models to assess the quality of the system and the quality of care which are also presented. The approach based on user satisfaction, considers the expectation measurement as information which is not inextricably linked to quality. A different approach is the one based on expectations as well as on disconfirmation of user expectations. The underlying structural model is based on a modified SERVQUAL approach that consists of five dimensions (Tangibles, Reliability, Responsiveness, Assurance and Empathy) which have been consistently ranked by customers to be most important for service quality across all industries. The model can thus be used for evaluation of healthcare services and for planning improvements on services. All these aspects for telehealth systems design are discussed to formulate epistemic criteria for evaluation purposes.
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