Evaluation method for safety management characteristic of medical workers

Haruna Yamazaki, Kana Kimura, Yusaku Okada

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationAdvances in Social and Occupational Ergonomics - Proceedings of the AHFE 2019 International Conference on Social and Occupational Ergonomics
EditorsAtsuo Murata, Richard H.M. Goossens
PublisherSpringer Verlag
Pages544-548
Number of pages5
ISBN (Print)9783030201449
DOIs
Publication statusPublished - 2020 Jan 1
EventAHFE International Conference on Social and Occupational Ergonomics, 2019 - Washington D.C., United States
Duration: 2019 Jul 242019 Jul 28

Publication series

NameAdvances in Intelligent Systems and Computing
Volume970
ISSN (Print)2194-5357

Conference

ConferenceAHFE International Conference on Social and Occupational Ergonomics, 2019
CountryUnited States
CityWashington D.C.
Period19/7/2419/7/28

Keywords

  • Information
  • Management
  • Medical
  • Safety
  • Text mining

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Evaluation method for safety management characteristic of medical workers'. Together they form a unique fingerprint.

  • 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