Toward interprofessional team training for surgeons and anesthesiologists using virtual reality
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ORIGINAL ARTICLE
Toward interprofessional team training for surgeons and anesthesiologists using virtual reality Vuthea Chheang1 · Virve Fischer1 · Holger Buggenhagen2 · Tobias Huber3 · Florentine Huettl3 · Werner Kneist3 · Bernhard Preim1 · Patrick Saalfeld1 · Christian Hansen1 Received: 27 January 2020 / Accepted: 1 October 2020 © The Author(s) 2020
Abstract Purpose In this work, a virtual environment for interprofessional team training in laparoscopic surgery is proposed. Our objective is to provide a tool to train and improve intraoperative communication between anesthesiologists and surgeons during laparoscopic procedures. Methods An anesthesia simulation software and laparoscopic simulation software are combined within a multi-user virtual reality (VR) environment. Furthermore, two medical training scenarios for communication training between anesthesiologists and surgeons are proposed and evaluated. Testing was conducted and social presence was measured. In addition, clinical feedback from experts was collected by following a think-aloud protocol and through structured interviews. Results Our prototype is assessed as a reasonable basis for training and extensive clinical evaluation. Furthermore, the results of testing revealed a high degree of exhilaration and social presence of the involved physicians. Valuable insights were gained from the interviews and the think-aloud protocol with the experts of anesthesia and surgery that showed the feasibility of team training in VR, the usefulness of the system for medical training, and current limitations. Conclusion The proposed VR prototype provides a new basis for interprofessional team training in surgery. It engages the training of problem-based communication during surgery and might open new directions for operating room training. Keywords Medical training · Surgical simulation · Virtual reality · Mixed reality · Human–computer interaction
Introduction Virtual reality (VR) has great potential to support training tasks. The quality of anesthesia is crucial during surgery. An anesthesiologist along with the surgeons is responsiVuthea Chheang and Virve Fischer have contributed equally to this work. Electronic supplementary material The online version of this article (https://doi.org/10.1007/s11548-020-02276-y) contains supplementary material, which is available to authorized users.
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Christian Hansen [email protected]
1
Faculty of Computer Science and Research Campus STIMULATE, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
2
Department of Anesthesiology, University Medicine of the Johannes Gutenberg-University Mainz, Mainz, Germany
3
Department of General, Visceral and Transplant Surgery, University Medicine of the Johannes Gutenberg-University Mainz, Mainz, Germany
ble for a patient’s well-being by using medically measured vital signs during the procedures [1]. Therefore, anesthesia training aims to improve the anesthesiologist’s skills to allow surgical intervention without irreversibly harming the patient. Various VR simul
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