A study on the methodology to analyse and prevent medical errors due to non-observance

Haizhe Jin, Masahiko Munechika, Masataka Sano, Chisato Kajihara, Han Chen, Fu Guo

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    It is necessary to tackle medical errors in order to provide safe healthcare. Medical errors are defined as departures from standards and can be divided into 2 categories: the first occurs even though workers follow standards, and the second occurs because they act contrary to standards and is called non-observance. Although some studies, as typified by error proofs, have been performed on the former, there are few studies on the latter. Therefore, errors due to non-observance chronically occur in hospitals. In this paper, we define non-observance as intentional departure from standards and discuss a mechanism generating non-observance. Furthermore, we propose a method to analyse non-observance and to prevent it by improving work methods and education.

    Original languageEnglish
    Title of host publicationAdvances in Human Factors and Ergonomics in Healthcare - Proceedings of the AHFE International Conference on Human Factors and Ergonomics in Healthcare, 2016
    PublisherSpringer Verlag
    Pages355-364
    Number of pages10
    Volume482
    ISBN (Print)9783319416519
    DOIs
    Publication statusPublished - 2017
    EventInternational Conference on Human Factors and Ergonomics in Healthcare, 2016 - Walt Disney World, United States
    Duration: 2016 Jul 272016 Jul 31

    Publication series

    NameAdvances in Intelligent Systems and Computing
    Volume482
    ISSN (Print)21945357

    Other

    OtherInternational Conference on Human Factors and Ergonomics in Healthcare, 2016
    CountryUnited States
    CityWalt Disney World
    Period16/7/2716/7/31

    Keywords

    • Error prevention
    • Medical errors
    • Non-observance
    • Process improvement

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Computer Science(all)

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  • Cite this

    Jin, H., Munechika, M., Sano, M., Kajihara, C., Chen, H., & Guo, F. (2017). A study on the methodology to analyse and prevent medical errors due to non-observance. In Advances in Human Factors and Ergonomics in Healthcare - Proceedings of the AHFE International Conference on Human Factors and Ergonomics in Healthcare, 2016 (Vol. 482, pp. 355-364). (Advances in Intelligent Systems and Computing; Vol. 482). Springer Verlag. https://doi.org/10.1007/978-3-319-41652-6_33