Challenges for implementing generative artificial intelligence (GenAI) into clinical healthcare.
Generative artificial intelligence (GenAI) is a form of deep learning AI based on inference that offers significant potential in healthcare. It has versatile capabilities: GenAI excels in complex human language communication, synthesising information from large and diverse datasets and performing br...
| Publicado en: | Internal Medicine Journal Vol. 55; no. 7; pp. 1063 - 1070 |
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| Autores principales: | , , , , , |
| Formato: | review tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Jul2025
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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=186997372&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 186997372 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14440903 HYC jtl: Internal Medicine Journal issn: 14440903 maglogo: Y pubinfo: dt: Jul2025 vid: 55 iid: 7 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 186997372 184004830 186997372 186997372 10.1111/imj.70035 186997372 ppf: 1063 ppct: 7 formats: tig: atl: Challenges for implementing generative artificial intelligence (GenAI) into clinical healthcare. aug: au: Roberts, Lynden J. Jayasena, Rajiv Khanna, Sankalp Arnott, Leslie Lane, Paul Bain, Chris affil: Department of Clinical Informatics, Monash Health, Melbourne Victoria,, Australia sug: subj: Artificial Intelligence, Generative Utilization Health Care Delivery Implementation Science Methods Decision Support Systems, Clinical Utilization Quality Assessment Data Security Workforce Education Ethics Trust ab: Generative artificial intelligence (GenAI) is a form of deep learning AI based on inference that offers significant potential in healthcare. It has versatile capabilities: GenAI excels in complex human language communication, synthesising information from large and diverse datasets and performing broad, complex tasks reliably. Other important capabilities include scalability, 'always on' and cost effectiveness. Taken together, GenAI technology appears to possess considerable potential for healthcare. However, the implementation poses several challenges, including technological problems, regulatory considerations, workforce impact and building trust. Using evidence and expert opinion to explore these issues, the review aims to inform clinical experts about this rapidly evolving field. pubtype: Academic Journal doctype: review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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