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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/37206
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dc.contributor.authorMahajan, Arjunen_UK
dc.contributor.authorPowell, Dylanen_UK
dc.date.accessioned2025-07-16T00:05:38Z-
dc.date.available2025-07-16T00:05:38Z-
dc.date.issued2025-02-26en_UK
dc.identifier.other125en_UK
dc.identifier.urihttp://hdl.handle.net/1893/37206-
dc.description.abstractGeneralist AI systems in healthcare can handle multiple complex clinical tasks, unlike narrow AI tools that perform isolated functions. However, current payment systems struggle to capture the value of these integrated capabilities. We examine potential solutions, including value-based and tiered structures, balancing innovation, equitable access, continuous performance evaluation, and cost-effectiveness to realize generalist AI’s transformative potential.en_UK
dc.language.isoenen_UK
dc.publisherSpringer Science and Business Media LLCen_UK
dc.relationMahajan A & Powell D (2025) Generalist medical AI reimbursement challenges and opportunities. <i>npj Digital Medicine</i>, 8, Art. No.: 125. https://doi.org/10.1038/s41746-025-01521-5en_UK
dc.rightsThis article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_UK
dc.titleGeneralist medical AI reimbursement challenges and opportunitiesen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1038/s41746-025-01521-5en_UK
dc.identifier.pmid40011639en_UK
dc.citation.jtitlenpj Digital Medicineen_UK
dc.citation.issn2398-6352en_UK
dc.citation.issn2398-6352en_UK
dc.citation.volume8en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.author.emaildylan.powell@stir.ac.uken_UK
dc.citation.date26/02/2025en_UK
dc.contributor.affiliationHarvard Medical Schoolen_UK
dc.contributor.affiliationHealth Sciences Stirlingen_UK
dc.identifier.isiWOS:001435003700001en_UK
dc.identifier.wtid2142858en_UK
dc.contributor.orcid0000-0003-1233-5468en_UK
dc.date.accepted2025-02-17en_UK
dcterms.dateAccepted2025-02-17en_UK
dc.date.filedepositdate2025-07-11en_UK
rioxxterms.apcpaiden_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorMahajan, Arjun|en_UK
local.rioxx.authorPowell, Dylan|0000-0003-1233-5468en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2025-07-11en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by-nc-nd/4.0/|2025-07-11|en_UK
local.rioxx.filenames41746-025-01521-5.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source2398-6352en_UK
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