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Does your team know how to respond safely to an operating room fire? Outcomes of a virtual reality, AI-enhanced simulation training.
Truong, Hung; Qi, Di; Ryason, Adam; Sullivan, Amy M; Cudmore, Jaime; Alfred, Samuel; Jones, Stephanie B; Parra, Jose M; De, Suvranu; Jones, Daniel B.
Afiliação
  • Truong H; Department of Surgery, Beth Israel Deaconess Medical Center, Harvard School of Medicine, 330 Brookline Ave, Shapiro Clinical Center 3rd Floor, Boston, MA, 02215, USA.
  • Qi D; Center for Modeling, Simulation, and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, NY, USA.
  • Ryason A; Center for Modeling, Simulation, and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, NY, USA.
  • Sullivan AM; Beth Israel Deaconess Medical Center, Carl J. Shapiro Institute for Research and Education, Harvard Medical School, Boston, MA, USA.
  • Cudmore J; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
  • Alfred S; Department of Surgery, Beth Israel Deaconess Medical Center, Harvard School of Medicine, 330 Brookline Ave, Shapiro Clinical Center 3rd Floor, Boston, MA, 02215, USA.
  • Jones SB; Center for Modeling, Simulation, and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, NY, USA.
  • Parra JM; Department of Anesthesia and Critical Care, Albany Medical Center, Albany, NY, USA.
  • De S; Beth Israel Deaconess Medical Center, Carl J. Shapiro Institute for Research and Education, Harvard Medical School, Boston, MA, USA.
  • Jones DB; Center for Modeling, Simulation, and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, NY, USA.
Surg Endosc ; 36(5): 3059-3067, 2022 05.
Article em En | MEDLINE | ID: mdl-34264400
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Incêndios / Treinamento por Simulação / Realidade Virtual Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Surg Endosc Assunto da revista: DIAGNOSTICO POR IMAGEM / GASTROENTEROLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Incêndios / Treinamento por Simulação / Realidade Virtual Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Surg Endosc Assunto da revista: DIAGNOSTICO POR IMAGEM / GASTROENTEROLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos