論文

国際誌
2023年5月18日

Reduction in X-ray Retake Rate Using the Token Economy Method.

Studies in health technology and informatics
  • Hiroto Hada
  • ,
  • Shusuke Hiragi
  • ,
  • Yukiko Mori
  • ,
  • Kenichi Saito
  • ,
  • Masumi Ai
  • ,
  • Tomohiro Kuroda

302
開始ページ
486
終了ページ
487
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.3233/SHTI230183

Excessive retakes of X-ray images increase labor and material costs, as well as result in excess radiation exposure for patients and a long waiting time. In this study, we evaluated the effectiveness of the token economy method as a management method for reducing X-ray retake rate among radiology technicians. The results showed a 2.5% reduction in retake rate, indicating the effectiveness of our method. In addition, we suggest that the token-economy-based approach can be applied to other hospital management problems.

リンク情報
DOI
https://doi.org/10.3233/SHTI230183
DBLP
https://dblp.uni-trier.de/rec/conf/mie/HadaHMSAK23
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/37203727
URL
https://dblp.uni-trier.de/rec/conf/mie/2023
URL
https://dblp.uni-trier.de/db/conf/mie/mie2023.html#HadaHMSAK23
ID情報
  • DOI : 10.3233/SHTI230183
  • DBLP ID : conf/mie/HadaHMSAK23
  • PubMed ID : 37203727

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