論文

査読有り
2014年

超音波タグを用いた手術部の医療従事者の行動分析の基礎的解析

医器学
  • 山下 和彦
  • 山田 憲嗣
  • 大野 ゆう子
  • 大久保 憲
  • 楠田 佳緒
  • 鈴木 孝樹
  • 山本 愛子
  • 丸山 惠
  • 松原 要一
  • 渡辺 利光
  • 佐藤 俊彦
  • 太田 裕治
  • 全て表示

84
3
開始ページ
325
終了ページ
334
記述言語
日本語
掲載種別
DOI
10.4286/jjmi.84.325
出版者・発行元
一般社団法人日本医療機器学会

Work analysis based on quantitative data is required in order to gain a proper understanding of the burdens that are placed on nurses. To this end, this study developed a movement analysis system which utilizes ultrasonic tags and RFID tags. The goal of this study was to analyze the flow of nursing staff working in operating room through field experiments, thereby gaining an understanding of specific nursing duties, while at the same time verifying the efficacy of the system. The experiments focused on 18 operating room nurses over a twenty day observation period. <br>The results indicated that all 18 nurses were involved with the preparation of surgical instrument container sets in the central supply department. In particular, it was noted that 6 nurses worked exclusively in this department. The accumulated time spent by nurses in the central supply department over a 20 day period till 10:00 was 36.8 hours and totaled 49.2 hours by 11:00 when container sets had been completed. <br>It was also revealed that the operating room was at its busiest between 14:00~16:00 and between 13 nurses were involved in operating room duties. On the other hand, the accumulated time spent by nurses in the operating room area over a 20-day period from 17:00 onwards was 166.1 hours and approximately 5 nurses were assigned to this area. <br>This system enables us to grasp in real time the precise location of nursing staff in relation to the map information of the operating room, by mapping their positions via the ultrasonic tags. In other words, simply by using the ultrasonic tags, it is possible for us to automatically grasp the movement paths (routes) of nursing staff, therefore proving effective in work analysis.

リンク情報
DOI
https://doi.org/10.4286/jjmi.84.325
CiNii Articles
http://ci.nii.ac.jp/naid/130004696032
CiNii Books
http://ci.nii.ac.jp/ncid/AA12291278
ID情報
  • DOI : 10.4286/jjmi.84.325
  • ISSN : 1882-4978
  • CiNii Articles ID : 130004696032
  • CiNii Books ID : AA12291278
  • identifiers.cinii_nr_id : 9000018660904

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