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Truong H, Qi D, Ryason A, Sullivan AM, Cudmore J, Alfred S, Jones SB, Parra JM, De S, Jones DB. Does your team know how to respond safely to an operating room fire? Outcomes of a virtual reality, AI-enhanced simulation training. Surg Endosc 2022; 36:3059-3067. [PMID: 34264400 PMCID: PMC10771129 DOI: 10.1007/s00464-021-08602-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2021] [Accepted: 06/06/2021] [Indexed: 01/22/2023]
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.
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Affiliation(s)
- Hung Truong
- Department of Surgery, Beth Israel Deaconess Medical Center, Harvard School of Medicine, 330 Brookline Ave, Shapiro Clinical Center 3rd Floor, Boston, MA, 02215, USA
| | - Di Qi
- Center for Modeling, Simulation, and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, NY, USA
| | - Adam Ryason
- Center for Modeling, Simulation, and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, NY, USA
| | - Amy M Sullivan
- Beth Israel Deaconess Medical Center, Carl J. Shapiro Institute for Research and Education, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Jaime Cudmore
- Department of Surgery, Beth Israel Deaconess Medical Center, Harvard School of Medicine, 330 Brookline Ave, Shapiro Clinical Center 3rd Floor, Boston, MA, 02215, USA
| | - Samuel Alfred
- Center for Modeling, Simulation, and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, NY, USA
| | - Stephanie B Jones
- Department of Anesthesia and Critical Care, Albany Medical Center, Albany, NY, USA
| | - Jose M Parra
- Beth Israel Deaconess Medical Center, Carl J. Shapiro Institute for Research and Education, Harvard Medical School, Boston, MA, USA
| | - Suvranu De
- Center for Modeling, Simulation, and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, NY, USA
| | - Daniel B Jones
- Department of Surgery, Beth Israel Deaconess Medical Center, Harvard School of Medicine, 330 Brookline Ave, Shapiro Clinical Center 3rd Floor, Boston, MA, 02215, USA.
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Cole WW, Familia M, Miskimin C, Mulcahey MK. Preoperative Optimization and Tips to Avoiding Surgical Complications Before the Incision. Sports Med Arthrosc Rev 2022; 30:2-9. [PMID: 35113836 DOI: 10.1097/jsa.0000000000000336] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
In preparation for surgery, it is important for surgeons to have a detailed discussion with patients about the risks, benefits, and alternatives to surgery. Patient optimization, ensuring the patient is in the best medical condition before surgery, is also an important aspect of patient care that the surgeon must consider. Although complications cannot be eliminated, there are often opportunities to optimize patients, so these risks can be minimized based on current evidence-based medicine. To minimize the risk of complications, the surgeon should take an active role in each step of the patient's care beginning with the history and physical examination, obtaining the correct preoperative labs, and continuing through positioning, draping, and prepping before making an incision.
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Affiliation(s)
- Wendell W Cole
- Department of Orthopaedic Surgery, Tulane University School of Medicine, New Orleans, LA
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