Real-time instrument detection in minimally invasive surgery using radiofrequency identification technology.

[1]  A. Park,et al.  Advanced Devices for the Operating Room of the Future , 2003, Seminars in laparoscopic surgery.

[2]  Jenny Dankelman,et al.  Workflow mining and outlier detection from clinical activity logs , 2012, J. Biomed. Informatics.

[3]  Michael Kranzfelder,et al.  New technologies for information retrieval to achieve situational awareness and higher patient safety in the surgical operating room: the MRI institutional approach and review of the literature , 2011, Surgical Endoscopy.

[4]  C. Meißner,et al.  RFID-based surgical instrument detection using Hidden Markov models , 2012 .

[5]  Eric Swanson,et al.  RFID in the healthcare supply chain: usage and application. , 2009, International journal of health care quality assurance.

[6]  A. Knoll,et al.  Toward increased autonomy in the surgical OR: needs, requests, and expectations , 2013, Surgical Endoscopy.

[7]  Michael Kranzfelder,et al.  Real-time monitoring for detection of retained surgical sponges and team motion in the surgical operation room using radio-frequency-identification (RFID) technology: a preclinical evaluation. , 2012, The Journal of surgical research.

[8]  J Dankelman,et al.  Systems for tracking minimally invasive surgical instruments , 2007, Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy.

[9]  Yasuhiro Fukui,et al.  Development of automatic acquisition system of surgical-instrument informantion in endoscopic and laparoscopic surgey , 2009, 2009 4th IEEE Conference on Industrial Electronics and Applications.

[10]  J. H. Dripps,et al.  Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society , 1989 .

[11]  S. D. Schwaitzberg.  The emergence of radiofrequency identification tags: applications in surgery , 2006, Surgical Endoscopy And Other Interventional Techniques.

[12]  Ernesto Iadanza,et al.  Custom active RFID solution for children tracking and identifying in a resuscitation ward , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[13]  A Cuschieri,et al.  Identification and categorization of technical errors by Observational Clinical Human Reliability Assessment (OCHRA) during laparoscopic cholecystectomy. , 2004, Archives of surgery.

[14]  Michael Kranzfelder,et al.  Feasibility of opto-electronic surgical instrument identification , 2009, Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy.