Using artificial intelligence to improve healthcare delivery in select allied health disciplines: a scoping review protocol
Introduction Methods to adopt artificial intelligence (AI) in healthcare clinical practice remain unclear. The potential for rapid integration of AI-enabled technologies across healthcare settings coupled with the growing digital divide in the health sector highlights the need to examine AI use by h...
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| Format: | Article |
| Language: | English |
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BMJ Publishing Group
2025-03-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/15/3/e098290.full |
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| author | Kristina Edvardsson Sally Fowler-Davis Claire Thwaites Ken Ho Kalpana Raghunathan Meg E. Morris Tafheem A. Wani Casey Peiris Jonathan P. McKercher Sharon Bourke Saadia Danish Jacqueline Johnston Nompilo Moyo Julia Gilmartin-Thomas Hazel Wei Fen Heng Joanne Joyce-McCoach |
| author_facet | Kristina Edvardsson Sally Fowler-Davis Claire Thwaites Ken Ho Kalpana Raghunathan Meg E. Morris Tafheem A. Wani Casey Peiris Jonathan P. McKercher Sharon Bourke Saadia Danish Jacqueline Johnston Nompilo Moyo Julia Gilmartin-Thomas Hazel Wei Fen Heng Joanne Joyce-McCoach |
| author_sort | Kristina Edvardsson |
| collection | DOAJ |
| description | Introduction Methods to adopt artificial intelligence (AI) in healthcare clinical practice remain unclear. The potential for rapid integration of AI-enabled technologies across healthcare settings coupled with the growing digital divide in the health sector highlights the need to examine AI use by health professionals, especially in allied health disciplines with emerging AI use such as physiotherapy, occupational therapy, speech pathology, podiatry and dietetics. This protocol details the methodology for a scoping review on the use of AI-enabled technology in sectors of the allied health workforce. The research question is ‘How is AI used by sectors of the allied health workforce to improve patient safety, quality of care and outcomes, and what is the quality of evidence supporting this use?’Methods and analysis The review will follow the Joanna Briggs Institute scoping review guidelines. Databases will be searched from 17 to 24 March 2025 and will include PubMed/Medline, Embase, PsycINFO and Cummulative Index to Nursing and Allied Health Literature databases. Dual screening against inclusion criteria will be applied for study selection. Peer-reviewed articles reporting primary research in allied healthcare published in English within the last 10 years will be included. Studies will be evaluated using the Quality Assessment with Diverse Studies tool. The review will map the existing literature and identify key themes related to the use of AI in the disciplines of physiotherapy, occupational therapy, speech pathology, podiatry and dietetics.Ethics and dissemination No ethics approval will be sought, as only secondary research outputs will be used. Findings will be disseminated through peer-reviewed publication and presentations at workshops and conferences.Trial registration number Open Science Framework Protocol Registration https://osf.io/r7t4s |
| format | Article |
| id | doaj-art-22476eca9a6a40a6bb9078da0fe970de |
| institution | DOAJ |
| issn | 2044-6055 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open |
| spelling | doaj-art-22476eca9a6a40a6bb9078da0fe970de2025-08-20T02:42:52ZengBMJ Publishing GroupBMJ Open2044-60552025-03-0115310.1136/bmjopen-2024-098290Using artificial intelligence to improve healthcare delivery in select allied health disciplines: a scoping review protocolKristina Edvardsson0Sally Fowler-Davis1Claire Thwaites2Ken Ho3Kalpana Raghunathan4Meg E. Morris5Tafheem A. Wani6Casey Peiris7Jonathan P. McKercher8Sharon Bourke9Saadia Danish10Jacqueline Johnston11Nompilo Moyo12Julia Gilmartin-Thomas13Hazel Wei Fen Heng14Joanne Joyce-McCoach15Judith Lumley Centre, School of Nursing and Midwifery, La Trobe University, Melbourne, Victoria, Australia1 Anglia Ruskin University, Chelmsford, UKAcademic and Research Collaborative in Health, La Trobe University, Melbourne, Victoria, AustraliaDepartment of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USASchool of Computing, Engineering and Mathematical Sciences, La Trobe University, Bundoora, Victoria, AustraliaThe Victorian Rehabilitation Centre, Healthscope Limited, Melbourne, Victoria, AustraliaCare Economy Research Institute, La Trobe University, Bundoora, Victoria, AustraliaAcademic and Research Collaborative in Health, La Trobe University, Melbourne, Victoria, AustraliaCare Economy Research Institute, La Trobe University, Bundoora, Victoria, AustraliaCare Economy Research Institute, La Trobe University, Bundoora, Victoria, AustraliaCare Economy Research Institute, La Trobe University, Bundoora, Victoria, AustraliaCare Economy Research Institute, La Trobe University, Bundoora, Victoria, AustraliaCare Economy Research Institute, La Trobe University, Bundoora, Victoria, AustraliaAcademic and Research Collaborative in Health, La Trobe University, Melbourne, Victoria, AustraliaAllied Health, Northern Hospital Epping, Epping, Victoria, AustraliaLa Trobe University, Melbourne, Victoria, AustraliaIntroduction Methods to adopt artificial intelligence (AI) in healthcare clinical practice remain unclear. The potential for rapid integration of AI-enabled technologies across healthcare settings coupled with the growing digital divide in the health sector highlights the need to examine AI use by health professionals, especially in allied health disciplines with emerging AI use such as physiotherapy, occupational therapy, speech pathology, podiatry and dietetics. This protocol details the methodology for a scoping review on the use of AI-enabled technology in sectors of the allied health workforce. The research question is ‘How is AI used by sectors of the allied health workforce to improve patient safety, quality of care and outcomes, and what is the quality of evidence supporting this use?’Methods and analysis The review will follow the Joanna Briggs Institute scoping review guidelines. Databases will be searched from 17 to 24 March 2025 and will include PubMed/Medline, Embase, PsycINFO and Cummulative Index to Nursing and Allied Health Literature databases. Dual screening against inclusion criteria will be applied for study selection. Peer-reviewed articles reporting primary research in allied healthcare published in English within the last 10 years will be included. Studies will be evaluated using the Quality Assessment with Diverse Studies tool. The review will map the existing literature and identify key themes related to the use of AI in the disciplines of physiotherapy, occupational therapy, speech pathology, podiatry and dietetics.Ethics and dissemination No ethics approval will be sought, as only secondary research outputs will be used. Findings will be disseminated through peer-reviewed publication and presentations at workshops and conferences.Trial registration number Open Science Framework Protocol Registration https://osf.io/r7t4shttps://bmjopen.bmj.com/content/15/3/e098290.full |
| spellingShingle | Kristina Edvardsson Sally Fowler-Davis Claire Thwaites Ken Ho Kalpana Raghunathan Meg E. Morris Tafheem A. Wani Casey Peiris Jonathan P. McKercher Sharon Bourke Saadia Danish Jacqueline Johnston Nompilo Moyo Julia Gilmartin-Thomas Hazel Wei Fen Heng Joanne Joyce-McCoach Using artificial intelligence to improve healthcare delivery in select allied health disciplines: a scoping review protocol BMJ Open |
| title | Using artificial intelligence to improve healthcare delivery in select allied health disciplines: a scoping review protocol |
| title_full | Using artificial intelligence to improve healthcare delivery in select allied health disciplines: a scoping review protocol |
| title_fullStr | Using artificial intelligence to improve healthcare delivery in select allied health disciplines: a scoping review protocol |
| title_full_unstemmed | Using artificial intelligence to improve healthcare delivery in select allied health disciplines: a scoping review protocol |
| title_short | Using artificial intelligence to improve healthcare delivery in select allied health disciplines: a scoping review protocol |
| title_sort | using artificial intelligence to improve healthcare delivery in select allied health disciplines a scoping review protocol |
| url | https://bmjopen.bmj.com/content/15/3/e098290.full |
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