The use of artificial intelligence and virtual reality in doctor-patient risk communication: A scoping review |
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| Affiliation: | 1. Faculty of Medicine and Health Sciences, McGill University, Montreal, Canada;2. Department of Family Medicine, McGill University, Montreal, Canada;3. Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Canada;4. Electrical and Computer Engineering Department, McGill University, Montreal, Canada;5. Harvey E. Beardmore Division of Pediatric Surgery, Montreal Children’s Hospital, McGill University Health Center and McGill University, Montreal, Canada;6. Department of Experimental Surgery, McGill University, Montreal, Canada;7. Research Institute of the McGill University Health Centre (RI-MUHC), Montreal, Canada;8. Institute for Health Sciences Education, McGill University, Montreal, Canada;1. James P. Wilmot Cancer Institute, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA;2. Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA;3. Department of Medicine, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA;4. School of Nursing, University of Rochester, Rochester, NY, USA;5. Department of Health Behavior, Society and Policy, Rutgers University School of Public Health, Piscataway, NJ, USA;6. Department of Family Medicine, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA;7. Division of Supportive Care in Cancer, Department of Surgery, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA;8. School of Nursing, University of Maryland, Baltimore, MD, USA;1. Australian Council for Educational Research, Camberwell, VIC 3124, Australia;2. Department of Medical Education, Melbourne Medical School, University of Melbourne, VIC 3010, Australia;1. Department of Clinical Pharmacy, Faculty of Pharmacy, Ain-Shams University, Cairo, Egypt;2. Department of Cardiology, Faculty of Medicine, Ain-Shams University, Cairo, Egypt;1. The University of Sydney, School of Psychology, Psycho-Oncology Co-operative Research Group (PoCoG), Sydney, Australia;2. Cancer Theme, Garvan Institute of Medical Research, Darlinghurst, Australia;3. The University of Sydney, School of Psychology, Centre for Medical Psychology and Evidence-based Medicine (CeMPED), Australia;4. The University of Notre Dame Australia, Institute for Ethics and Society, Sydney, Australia;5. University of NSW, St Vincent’s Clinical School, Sydney, Australia;1. Institute of Medical Education, University Hospital, LMU Munich, Munich, Germany;2. Faculty of Health, Chair for the Education of Personal and Interpersonal Competences in Health Care, Witten/Herdecke University, Witten, Germany;3. Faculty of Behavioural and Social Sciences, Department of Educational Sciences, University of Groningen, the Netherlands |
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| Abstract: | ObjectivesWhile the development of artificial intelligence (AI) and virtual reality (VR) technologies in medicine has been significant, their application to doctor-patient communication is limited. As communicating risk is a challenging, yet essential, component of shared decision-making (SDM) in surgery, this review aims to explore the current use of AI and VR in doctor-patient surgical risk communication.MethodsThe search strategy was prepared by a medical librarian and run in 7 electronic databases. Articles were screened by a single reviewer. Included articles described the use of AI or VR applicable to surgical risk communication between patients, their families, and the surgical team.ResultsFrom 4576 collected articles, 64 were included in this review. Identified applications included decision support tools (15, 23.4%), tailored patient information resources (13, 20.3%), treatment visualization tools (17, 26.6%) and communication training platforms (19, 29.7%). Overall, these technologies enhance risk communication and SDM, despite heterogeneity in evaluation methods. However, improvements in the usability and versatility of these interventions are needed.ConclusionsThere is emerging literature regarding applications of AI and VR to facilitate doctor-patient surgical risk communication.Practice implicationsAI and VR hold the potential to personalize doctor-patient surgical risk communication to individual patients and healthcare contexts. |
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| Keywords: | Doctor-patient communication Shared-decision making Artificial intelligence Virtual reality Personalized communication |
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