Hung Truong1, Di Qi2, Adam Ryason2, Amy M Sullivan3,4, Jaime Cudmore1, Samuel Alfred2, Stephanie B Jones5, Jose M Parra3, Suvranu De2, Daniel B Jones6. 1. Department of Surgery, Beth Israel Deaconess Medical Center, Harvard School of Medicine, 330 Brookline Ave, Shapiro Clinical Center 3rd Floor, Boston, MA, 02215, USA. 2. Center for Modeling, Simulation, and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, NY, USA. 3. Beth Israel Deaconess Medical Center, Carl J. Shapiro Institute for Research and Education, Harvard Medical School, Boston, MA, USA. 4. Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA. 5. Department of Anesthesia and Critical Care, Albany Medical Center, Albany, NY, USA. 6. Department of Surgery, Beth Israel Deaconess Medical Center, Harvard School of Medicine, 330 Brookline Ave, Shapiro Clinical Center 3rd Floor, Boston, MA, 02215, USA. djones1@bidmc.harvard.edu.
Abstract
BACKGROUND: Operating room (OR) fires are rare but devastating events requiring immediate and effective response. Virtual Reality (VR) simulation training can provide a safe environment for practice of skills in such highly stressful situation. This study assessed interprofessional participants' ability to respond to VR-simulated OR fire scenarios, attitudes, numbers of attempt of the VR simulation do participants need to successfully respond to OR fires and does prior experience, confidence level, or professional role predict the number of attempts needed to demonstrate safety and pass the simulation. METHODS: 180 surgical team members volunteered to participate in this study at Beth Israel Deaconess Medical Center, Boston, MA. Each participant completed five VR OR simulation trials; the final two trials incorporated AI assistance. Primary outcomes were performance scores, number of attempts needed to pass, and pre- and post-survey results describing participant confidence and experiences. Differences across professional or training role were assessed using chi-square tests and analyses of variance. Differences in pass rates over time were assessed using repeated measures logistic regression. RESULTS: One hundred eighty participants completed simulation testing; 170 (94.4%) completed surveys. Participants included surgeons (17.2%), anesthesiologists (10.0%), allied health professionals (41.7%), and medical trainees (31.1%). Prior to training, 45.4% of participants reported feeling moderately or very confident in their ability to respond to an OR fire. Eight participants (4.4%) responded safely on the first simulation attempt. Forty-three participants (23.9%) passed by the third attempt (VR only); an additional 97 participants (53.9%) passed within the 4-5th attempt (VR with AI assistance). CONCLUSIONS: Providers are unprepared to respond to OR fires. VR-based simulation training provides a practical platform for individuals to improve their knowledge and performance in the management of OR fires with a 79% pass rate in our study. A VR AI approach to teaching this essential skill is innovative, feasible, and effective.
BACKGROUND: Operating room (OR) fires are rare but devastating events requiring immediate and effective response. Virtual Reality (VR) simulation training can provide a safe environment for practice of skills in such highly stressful situation. This study assessed interprofessional participants' ability to respond to VR-simulated OR fire scenarios, attitudes, numbers of attempt of the VR simulation do participants need to successfully respond to OR fires and does prior experience, confidence level, or professional role predict the number of attempts needed to demonstrate safety and pass the simulation. METHODS: 180 surgical team members volunteered to participate in this study at Beth Israel Deaconess Medical Center, Boston, MA. Each participant completed five VR OR simulation trials; the final two trials incorporated AI assistance. Primary outcomes were performance scores, number of attempts needed to pass, and pre- and post-survey results describing participant confidence and experiences. Differences across professional or training role were assessed using chi-square tests and analyses of variance. Differences in pass rates over time were assessed using repeated measures logistic regression. RESULTS: One hundred eighty participants completed simulation testing; 170 (94.4%) completed surveys. Participants included surgeons (17.2%), anesthesiologists (10.0%), allied health professionals (41.7%), and medical trainees (31.1%). Prior to training, 45.4% of participants reported feeling moderately or very confident in their ability to respond to an OR fire. Eight participants (4.4%) responded safely on the first simulation attempt. Forty-three participants (23.9%) passed by the third attempt (VR only); an additional 97 participants (53.9%) passed within the 4-5th attempt (VR with AI assistance). CONCLUSIONS: Providers are unprepared to respond to OR fires. VR-based simulation training provides a practical platform for individuals to improve their knowledge and performance in the management of OR fires with a 79% pass rate in our study. A VR AI approach to teaching this essential skill is innovative, feasible, and effective.
Authors: Liane S Feldman; L Michael Brunt; Pascal Fuchshuber; Daniel B Jones; Stephanie B Jones; Jessica Mischna; Malcolm G Munro; Marc A Rozner; Steven D Schwaitzberg Journal: Surg Endosc Date: 2013-07-17 Impact factor: 4.584
Authors: Kinga A Powers; Scott T Rehrig; Noel Irias; Hedwig A Albano; Andrew Malinow; Stephanie B Jones; Donald W Moorman; John B Pawlowski; Daniel B Jones Journal: Surg Endosc Date: 2007-12-11 Impact factor: 4.584
Authors: Ali Alaraj; Michael G Lemole; Joshua H Finkle; Rachel Yudkowsky; Adam Wallace; Cristian Luciano; P Pat Banerjee; Silvio H Rizzi; Fady T Charbel Journal: Surg Neurol Int Date: 2011-04-28