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

Hiroto Hada, Shusuke Hiragi, Yukiko Mori, Kenichi Saito, Masumi Ai, Tomohiro Kuroda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationCaring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023
EditorsMaria Hagglund, Madeleine Blusi, Stefano Bonacina, Lina Nilsson, Inge Cort Madsen, Sylvia Pelayo, Anne Moen, Arriel Benis, Lars Lindskold, Parisis Gallos
PublisherIOS Press BV
Pages486-487
Number of pages2
ISBN (Electronic)9781643683881
DOIs
Publication statusPublished - 18-05-2023
Externally publishedYes
Event33rd Medical Informatics Europe Conference: Caring is Sharing - Exploiting the Value in Data for Health and Innovation, MIE2023 - Gothenburg, Sweden
Duration: 22-05-202325-05-2023

Publication series

NameStudies in Health Technology and Informatics
Volume302
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference33rd Medical Informatics Europe Conference: Caring is Sharing - Exploiting the Value in Data for Health and Innovation, MIE2023
Country/TerritorySweden
CityGothenburg
Period22-05-2325-05-23

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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