The role of artificial intelligence in enhancing interprofessional education and collaborative practice: a mixed methods scoping review.
In this scoping review, we examined the role of artificial intelligence (AI) in enhancing interprofessional education and collaborative practice (IPECP) within healthcare settings. Drawing on the Canadian Interprofessional Health Collaborative "Competency Framework," the review investigated AI's cap...
| Publicado en: | Journal of Interprofessional Care Vol. 40; no. 2; pp. 390 - 400 |
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| Autores principales: | , , , , |
| Formato: | research systematic review tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Mar/Apr2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=192005994&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 192005994 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13561820 57N jtl: Journal of Interprofessional Care issn: 13561820 maglogo: Y pubinfo: dt: Mar/Apr2026 vid: 40 iid: 2 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 192005994 189786541 192005994 192005994 10.1080/13561820.2025.2576241 192005994 ppf: 390 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: The role of artificial intelligence in enhancing interprofessional education and collaborative practice: a mixed methods scoping review. aug: au: Hu, Lucas Argus, Geoff Pineda, Roi Charles MacAskill, William Martin, Priya affil: Rural Clinical School, The University of Queensland, Toowoomba, Queensland, Australia sug: subj: Artificial Intelligence Collaboration Education, Interdisciplinary Multidisciplinary Care Team Human Scoping Review Students, Health Occupations Outcomes of Education Communication Patient Centered Care Patient Attitudes Student Knowledge Intensive Care Units Length of Stay Evaluation Student Role Documentation Machine Learning Decision Support Systems, Clinical Data Security Chatbot Algorithms Individualized Medicine Data Management Evaluation Electronic Health Records Trust Validity Work Honesty Patient Preference Social Behavior Health Personnel Medline PubMed CINAHL Database Cochrane Library Embase Psycinfo Simulations Surveys Software Risk Assessment Virtual Reality ab: In this scoping review, we examined the role of artificial intelligence (AI) in enhancing interprofessional education and collaborative practice (IPECP) within healthcare settings. Drawing on the Canadian Interprofessional Health Collaborative "Competency Framework," the review investigated AI's capacity to support essential IPECP competencies, including team communication, relationship-focused care, role clarification, and collaborative leadership. A comprehensive literature search identified 15 studies published from 2010 onwards that explored various AI applications, such as virtual reality simulations, clinical decision support systems, and machine learning algorithms, aimed at fostering interprofessional teamwork and improving healthcare outcomes. Key findings suggest that AI could facilitate effective team communication, real-time decision-making, and interprofessional education by enabling consistent, evidence-based recommendations and personalized treatment plans. However, several barriers to AI adoption were noted, including clinician mistrust, data security concerns, and challenges integrating AI within existing healthcare infrastructure. These findings highlight the potential for AI to advance IPECP but underscore the need for further research explicitly aligned with targeted IPECP competencies. Addressing these barriers will be critical to integrating AI into standard team-based healthcare practices. pubtype: Academic Journal doctype: research systematic review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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