Abstract
Clinical environment is very complex, and flexible and adaptive service improvement is crucial in maintaining quality of medical care. Thus, incremental software development in hospital information system and its evaluation are important. This paper introduces a statistical estimation method of an embedded software in which service logs are used to measure the differences between responsive time before and after a new interface has been introduced. The empirical results show that statistical methods are useful to evaluate the system performance in a real clinical environment.
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Acknowledgment
This research is supported by Grant-in-Aid for Scientific Research (B) 24300058 from Japan Society for the Promotion of Science (JSPS).
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Tsumoto, S., Hirano, S., Kawamura, T. (2017). Statistical Estimation of Software Quality in Hospital Information System. In: Sawatani, Y., Spohrer, J., Kwan, S., Takenaka, T. (eds) Serviceology for Smart Service System. ICServ 2015. Springer, Tokyo. https://doi.org/10.1007/978-4-431-56074-6_37
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DOI: https://doi.org/10.1007/978-4-431-56074-6_37
Publisher Name: Springer, Tokyo
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