Prediction of the service life of surgical instruments from the surgical instrument management system log using radio frequency identification

Prediction of the service life of surgical instruments from the surgical instrument management system log using radio frequency identification

Abstract Background Bar code- or radio frequency identification (RFID)-based medical instrument management systems have gradually been introduced in the field of surgical medicine for the individual management and identification of instruments. We hypothesized that individual management of instrumen...

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Bibliographic Details
Main Authors: Takeki Yoshikawa, Eizen Kimura, Emi Akama, Hiromi Nakao, Toshihiro Yorozuya, Ken Ishihara
Format: Article
Language:English
Published: BMC 2019-10-01
Series:BMC Health Services Research
Subjects:
RFID
Tracking data
Probability model
Service life of surgical instruments
Prevention of medical accidents
Online Access:http://link.springer.com/article/10.1186/s12913-019-4540-0

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