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

• Main Authors: Takeki Yoshikawa (Author), Eizen Kimura (Author), Emi Akama (Author), Hiromi Nakao (Author), Toshihiro Yorozuya (Author), Ken Ishihara (Author)
• Format: Book
• Published: BMC, 2019-10-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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...