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Rapid evidence synthesis 129: Artificial intelligence tools for reducing administrative burden among front-line healthcare providers

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dc.contributor.authorWu, N
dc.contributor.authorWhitelaw, H
dc.contributor.authorWang, Q
dc.contributor.authorPhelps, A
dc.contributor.authorSivanesanathan, T
dc.contributor.authorDeMaio, P
dc.contributor.authorAli, A
dc.contributor.authorChen, K
dc.contributor.authorDass, R
dc.contributor.authorGrewal, E
dc.contributor.authorMoat, K
dc.date.accessioned2025-10-31T00:19:04Z
dc.date.available2025-10-31T00:19:04Z
dc.date.issued2025-05
dc.description.abstractAn in-depth synthesis of what is known based on the best available global research evidence (i.e., evidence syntheses) and local research evidence (i.e., single studies) and may include a scan of experiences from other countries and from Canadian provinces and territories, about artificial intelligence tools for reducing administrative burden among front-line healthcare providers in response to a decision-maker's request.en_US
dc.description.sponsorshipThis rapid evidence synthesis was funded by the CMA Foundation.en_US
dc.identifier.citationWu N, Whitelaw H, Wang Q, Phelps A, Sivanesanathan T, DeMaio P, Ali A, Chen K, Dass R, Grewal E, Moat K. Rapid evidence synthesis 129: Artificial intelligence tools for reducing administrative burden among front-line healthcare providers. Hamilton: McMaster Health Forum, 30 May 2025.en_US
dc.identifier.issn2819-5639
dc.identifier.urihttp://hdl.handle.net/11375/32617
dc.language.isoenen_US
dc.relation.ispartofseriesRES 129;
dc.subjectartificial intelligenceen_US
dc.subjectadministrativeen_US
dc.subjectburdenen_US
dc.subjectfront-lineen_US
dc.subjecthealthcareen_US
dc.subjectprovidersen_US
dc.titleRapid evidence synthesis 129: Artificial intelligence tools for reducing administrative burden among front-line healthcare providersen_US

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