Evaluation method for safety management characteristic of medical workers

Haruna Yamazaki; Kana Kimura; Yusaku Okada

doi:10.1007/978-3-030-20145-6_54

Evaluation method for safety management characteristic of medical workers

Haruna Yamazaki, Kana Kimura, Yusaku Okada

Department of Administration Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The PDCA cycle proposed to prevention activities of medical accidents. We will propose suitable manager to operate this PDCA cycle. They are not only support for planning measures but also on the qualities items of the site leader which is the center of improvement of the workforce in various industries, safety personnel in various industries. We will report on the contents of consideration based on the survey of education, tasks and so on.

Original language	English
Title of host publication	Advances in Social and Occupational Ergonomics - Proceedings of the AHFE 2019 International Conference on Social and Occupational Ergonomics
Editors	Atsuo Murata, Richard H.M. Goossens
Publisher	Springer Verlag
Pages	544-548
Number of pages	5
ISBN (Print)	9783030201449
DOIs	https://doi.org/10.1007/978-3-030-20145-6_54
Publication status	Published - 2020 Jan 1
Event	AHFE International Conference on Social and Occupational Ergonomics, 2019 - Washington D.C., United States Duration: 2019 Jul 24 → 2019 Jul 28

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	970
ISSN (Print)	2194-5357

Conference

Conference	AHFE International Conference on Social and Occupational Ergonomics, 2019
Country	United States
City	Washington D.C.
Period	19/7/24 → 19/7/28

Keywords

Information
Management
Medical
Safety
Text mining

ASJC Scopus subject areas

Control and Systems Engineering
Computer Science(all)

Access to Document

10.1007/978-3-030-20145-6_54

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Cite this

Yamazaki, H., Kimura, K., & Okada, Y. (2020). Evaluation method for safety management characteristic of medical workers. In A. Murata, & R. H. M. Goossens (Eds.), Advances in Social and Occupational Ergonomics - Proceedings of the AHFE 2019 International Conference on Social and Occupational Ergonomics (pp. 544-548). (Advances in Intelligent Systems and Computing; Vol. 970). Springer Verlag. https://doi.org/10.1007/978-3-030-20145-6_54

Evaluation method for safety management characteristic of medical workers. / Yamazaki, Haruna; Kimura, Kana; Okada, Yusaku.

Advances in Social and Occupational Ergonomics - Proceedings of the AHFE 2019 International Conference on Social and Occupational Ergonomics. ed. / Atsuo Murata; Richard H.M. Goossens. Springer Verlag, 2020. p. 544-548 (Advances in Intelligent Systems and Computing; Vol. 970).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yamazaki, H, Kimura, K & Okada, Y 2020, Evaluation method for safety management characteristic of medical workers. in A Murata & RHM Goossens (eds), Advances in Social and Occupational Ergonomics - Proceedings of the AHFE 2019 International Conference on Social and Occupational Ergonomics. Advances in Intelligent Systems and Computing, vol. 970, Springer Verlag, pp. 544-548, AHFE International Conference on Social and Occupational Ergonomics, 2019, Washington D.C., United States, 19/7/24. https://doi.org/10.1007/978-3-030-20145-6_54

Yamazaki H, Kimura K, Okada Y. Evaluation method for safety management characteristic of medical workers. In Murata A, Goossens RHM, editors, Advances in Social and Occupational Ergonomics - Proceedings of the AHFE 2019 International Conference on Social and Occupational Ergonomics. Springer Verlag. 2020. p. 544-548. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-030-20145-6_54

Yamazaki, Haruna ; Kimura, Kana ; Okada, Yusaku. / Evaluation method for safety management characteristic of medical workers. Advances in Social and Occupational Ergonomics - Proceedings of the AHFE 2019 International Conference on Social and Occupational Ergonomics. editor / Atsuo Murata ; Richard H.M. Goossens. Springer Verlag, 2020. pp. 544-548 (Advances in Intelligent Systems and Computing).

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