Improving healthcare professionals' usage of artificial intelligence-powered risk recommenders through enhancement of trust and acceptance: a rapid realist review protocol.
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| Title: | Improving healthcare professionals' usage of artificial intelligence-powered risk recommenders through enhancement of trust and acceptance: a rapid realist review protocol. |
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| Authors: | Glass GF Jr; Nursing Implementation, Translation and Research Office, Nursing Service, Tan Tock Seng Hospital, Singapore GLAS0002@e.ntu.edu.sg.; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore., Ang CS; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore., Weiss ME; Marquette University College of Nursing, Milwaukee, Wisconsin, USA., Fan X; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore., Cleland JA; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.; NHG Health, Singapore., Manski-Nankervis JA; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.; Department of General Practice and Primary Care, The University of Melbourne, Melbourne, Victoria, Australia.; NHG Polyclinics, Singapore. |
| Source: | BMJ open [BMJ Open] 2026 May 28; Vol. 16 (5), pp. e118394. Date of Electronic Publication: 2026 May 28. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BMJ Publishing Group Ltd Country of Publication: England NLM ID: 101552874 Publication Model: Electronic Cited Medium: Internet ISSN: 2044-6055 (Electronic) Linking ISSN: 20446055 NLM ISO Abbreviation: BMJ Open Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2044-6055 |
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| DOI: | 10.1136/bmjopen-2026-118394 |
