BACKGROUND: A key part of surgical workflow recording is recognition of the instrument in use. We present a radiofrequency identification (RFID)-based approach for real-time tracking of laparoscopic instruments. METHODS: The system consists of RFID-tagged instruments and an antenna unit positioned on the Mayo stand. For reliability analysis, RFID tracking data were compared with the assessment of the perioperative video data of instrument changes (the reference standard for instrument application detection) in 10 laparoscopic cholecystectomies. When the tagged instrument was on the Mayo stand, it was referred to as "not in use." Once it was handed to the surgeon, it was considered to be "in use." Temporal miscounts (incorrect number of instruments "in use") were analyzed. The surgeons and scrub nurses completed a questionnaire after each operation for individual system evaluation. RESULTS: A total of 110 distinct instrument applications ("in use" versus "not in use") were eligible for analysis. No RFID tag failure occurred. The RFID detection rates were consistent with the period of effective instrument application. The delay in instrument detection was 4.2 ± 1.7 s. The highest percentage of temporal miscounts occurred during phases with continuous application of coagulation current. Surgeons generally rated the system better than the scrub nurses (P = 0.54). CONCLUSIONS: The feasibility of RFID-based real-time instrument detection was successfully proved in our study, with reliable detection results during laparoscopic cholecystectomy. Thus, RFID technology has the potential to be a valuable additional tool for surgical workflow recognition that could enable a situation dependent assistance of the surgeon in the future.
BACKGROUND: A key part of surgical workflow recording is recognition of the instrument in use. We present a radiofrequency identification (RFID)-based approach for real-time tracking of laparoscopic instruments. METHODS: The system consists of RFID-tagged instruments and an antenna unit positioned on the Mayo stand. For reliability analysis, RFID tracking data were compared with the assessment of the perioperative video data of instrument changes (the reference standard for instrument application detection) in 10 laparoscopic cholecystectomies. When the tagged instrument was on the Mayo stand, it was referred to as "not in use." Once it was handed to the surgeon, it was considered to be "in use." Temporal miscounts (incorrect number of instruments "in use") were analyzed. The surgeons and scrub nurses completed a questionnaire after each operation for individual system evaluation. RESULTS: A total of 110 distinct instrument applications ("in use" versus "not in use") were eligible for analysis. No RFID tag failure occurred. The RFID detection rates were consistent with the period of effective instrument application. The delay in instrument detection was 4.2 ± 1.7 s. The highest percentage of temporal miscounts occurred during phases with continuous application of coagulation current. Surgeons generally rated the system better than the scrub nurses (P = 0.54). CONCLUSIONS: The feasibility of RFID-based real-time instrument detection was successfully proved in our study, with reliable detection results during laparoscopic cholecystectomy. Thus, RFID technology has the potential to be a valuable additional tool for surgical workflow recognition that could enable a situation dependent assistance of the surgeon in the future.
Authors: A C P Guédon; L S G L Wauben; D F de Korne; M Overvelde; J Dankelman; J J van den Dobbelsteen Journal: J Med Syst Date: 2014-12-14 Impact factor: 4.460
Authors: Dhiraj J Pangal; Guillaume Kugener; Yichao Zhu; Aditya Sinha; Vyom Unadkat; David J Cote; Ben Strickland; Martin Rutkowski; Andrew Hung; Animashree Anandkumar; X Y Han; Vardan Papyan; Bozena Wrobel; Gabriel Zada; Daniel A Donoho Journal: Sci Rep Date: 2022-05-17 Impact factor: 4.996
Authors: Annetje C P Guédon; M Paalvast; F C Meeuwsen; D M J Tax; A P van Dijke; L S G L Wauben; M van der Elst; J Dankelman; J J van den Dobbelsteen Journal: J Med Syst Date: 2016-10-14 Impact factor: 4.460
Authors: Colin F Mackenzie; Shiming Yang; Evan Garofalo; Peter Fu-Ming Hu; Darcy Watts; Rajan Patel; Adam Puche; George Hagegeorge; Valerie Shalin; Kristy Pugh; Guinevere Granite; Lynn G Stansbury; Stacy Shackelford; Samuel Tisherman Journal: World J Surg Date: 2021-01-03 Impact factor: 3.352