@inproceedings{d06aeb8a7a204b3894c86c43e694f03f,
title = "A study on the methodology to analyse and prevent medical errors due to non-observance",
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.",
keywords = "Error prevention, Medical errors, Non-observance, Process improvement",
author = "Haizhe Jin and Masahiko Munechika and Masataka Sano and Chisato Kajihara and Han Chen and Fu Guo",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2017. Copyright: Copyright 2016 Elsevier B.V., All rights reserved.; International Conference on Human Factors and Ergonomics in Healthcare, 2016 ; Conference date: 27-07-2016 Through 31-07-2016",
year = "2017",
doi = "10.1007/978-3-319-41652-6_33",
language = "English",
isbn = "9783319416519",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "355--364",
editor = "Nancy Lightner and Duffy, {Vincent G.}",
booktitle = "Advances in Human Factors and Ergonomics in Healthcare - Proceedings of the AHFE International Conference on Human Factors and Ergonomics in Healthcare, 2016",
}