Literature DB >> 17442879

Auto identification technology and its impact on patient safety in the Operating Room of the Future.

Marie T Egan1, Warren S Sandberg.   

Abstract

Automatic identification technologies, such as bar coding and radio frequency identification, are ubiquitous in everyday life but virtually nonexistent in the operating room. User expectations, based on everyday experience with automatic identification technologies, have generated much anticipation that these systems will improve readiness, workflow, and safety in the operating room, with minimal training requirements. We report, in narrative form, a multi-year experience with various automatic identification technologies in the Operating Room of the Future Project at Massachusetts General Hospital. In each case, the additional human labor required to make these ;labor-saving' technologies function in the medical environment has proved to be their undoing. We conclude that while automatic identification technologies show promise, significant barriers to realizing their potential still exist. Nevertheless, overcoming these obstacles is necessary if the vision of an operating room of the future in which all processes are monitored, controlled, and optimized is to be achieved.

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Year:  2007        PMID: 17442879     DOI: 10.1177/1553350606298971

Source DB:  PubMed          Journal:  Surg Innov        ISSN: 1553-3506            Impact factor:   2.058


  5 in total

1.  Fuzzy logic-based approach to detecting a passive RFID tag in an outpatient clinic.

Authors:  Daiki Min; Yuehwern Yih
Journal:  J Med Syst       Date:  2009-10-10       Impact factor: 4.460

2.  Towards a smart object network for clinical services.

Authors:  Martin Sedlmayr; Andreas Becker; Ulli Muench; Fritz Meier; Hans-Ulrich Prokosch; Thomas Ganslandt
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

3.  Cost effective patient location monitoring system using webcams.

Authors:  Rajasvaran Logeswaran
Journal:  J Med Syst       Date:  2009-10       Impact factor: 4.460

4.  Innovation in surgery/operating room driven by Internet of Things on medical devices.

Authors:  Yuki Ushimaru; Tsuyoshi Takahashi; Yoshihito Souma; Yoshitomo Yanagimoto; Hirotsugu Nagase; Koji Tanaka; Yasuhiro Miyazaki; Tomoki Makino; Yukinori Kurokawa; Makoto Yamasaki; Masaki Mori; Yuichiro Doki; Kiyokazu Nakajima
Journal:  Surg Endosc       Date:  2019-01-22       Impact factor: 4.584

5.  Intra-operative surgical instrument usage detection on a multi-sensor table.

Authors:  Bernhard Glaser; Stefan Dänzer; Thomas Neumuth
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-05-15       Impact factor: 2.924

  5 in total

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