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Predicting Healthcare Utilization Outcomes With Artificial Intelligence: A Large Scoping Review.

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Title: Predicting Healthcare Utilization Outcomes With Artificial Intelligence: A Large Scoping Review.
Authors: Gallego-Moll C; Institute for Advanced Research in Business and Economics (INARBE), Public University of Navarre (UPNA), Pamplona, Spain; Department of Econometrics, Statistics and Applied Economics, Universitat de Barcelona, Barcelona, Spain; Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain. Electronic address: carlosgallego@ub.edu., Carrasco-Ribelles LA; Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain., Casajuana M; Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain; Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Bellaterra, Spain., Maynou L; Department of Econometrics, Statistics and Applied Economics, Universitat de Barcelona, Barcelona, Spain; Department of Health Policy, London School of Economics and Political Science, London, England, UK; Center for Research in Health and Economics (CRES), Universitat Pompeu Fabra, Barcelona, Spain., Arocena P; Institute for Advanced Research in Business and Economics (INARBE), Public University of Navarre (UPNA), Pamplona, Spain., Violán C; Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain; Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Bellaterra, Spain; Direcció d'Atenció Primària Metropolitana Nord, Institut Català de Salut, Badalona, Spain., Zabaleta-Del-Olmo E; Institute for Advanced Research in Business and Economics (INARBE), Public University of Navarre (UPNA), Pamplona, Spain; Gerència Territorial Barcelona, Institut Català de la Salut, Barcelona, Spain; Nursing Department, Faculty of Nursing, Universitat de Girona, Girona, Spain.
Source: Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research [Value Health] 2026 Jan; Vol. 29 (1), pp. 159-171. Date of Electronic Publication: 2025 Aug 21.
Publication Type: Journal Article; Scoping Review; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 100883818 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1524-4733 (Electronic) Linking ISSN: 10983015 NLM ISO Abbreviation: Value Health Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Predicting Healthcare Utilization Outcomes With Artificial Intelligence: A Large Scoping Review.
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  Data: <searchLink fieldCode="AU" term="%22Gallego-Moll+C%22">Gallego-Moll C</searchLink>; Institute for Advanced Research in Business and Economics (INARBE), Public University of Navarre (UPNA), Pamplona, Spain; Department of Econometrics, Statistics and Applied Economics, Universitat de Barcelona, Barcelona, Spain; Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain. Electronic address: carlosgallego@ub.edu.<br /><searchLink fieldCode="AU" term="%22Carrasco-Ribelles+LA%22">Carrasco-Ribelles LA</searchLink>; Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain.<br /><searchLink fieldCode="AU" term="%22Casajuana+M%22">Casajuana M</searchLink>; Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain; Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Bellaterra, Spain.<br /><searchLink fieldCode="AU" term="%22Maynou+L%22">Maynou L</searchLink>; Department of Econometrics, Statistics and Applied Economics, Universitat de Barcelona, Barcelona, Spain; Department of Health Policy, London School of Economics and Political Science, London, England, UK; Center for Research in Health and Economics (CRES), Universitat Pompeu Fabra, Barcelona, Spain.<br /><searchLink fieldCode="AU" term="%22Arocena+P%22">Arocena P</searchLink>; Institute for Advanced Research in Business and Economics (INARBE), Public University of Navarre (UPNA), Pamplona, Spain.<br /><searchLink fieldCode="AU" term="%22Violán+C%22">Violán C</searchLink>; Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain; Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Bellaterra, Spain; Direcció d'Atenció Primària Metropolitana Nord, Institut Català de Salut, Badalona, Spain.<br /><searchLink fieldCode="AU" term="%22Zabaleta-Del-Olmo+E%22">Zabaleta-Del-Olmo E</searchLink>; Institute for Advanced Research in Business and Economics (INARBE), Public University of Navarre (UPNA), Pamplona, Spain; Gerència Territorial Barcelona, Institut Català de la Salut, Barcelona, Spain; Nursing Department, Faculty of Nursing, Universitat de Girona, Girona, Spain.
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  Data: <searchLink fieldCode="JN" term="%22100883818%22">Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research</searchLink> [Value Health] 2026 Jan; Vol. 29 (1), pp. 159-171. <i>Date of Electronic Publication: </i>2025 Aug 21.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>100883818 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1524-4733 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210983015%22">10983015 </searchLink><i>NLM ISO Abbreviation: </i>Value Health <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.jval.2025.08.007
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              Text: 2026 Jan
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