Which explanations do clinicians prefer? A comparative evaluation of XAI understandability and actionability in predicting the need for hospitalization.

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Title: Which explanations do clinicians prefer? A comparative evaluation of XAI understandability and actionability in predicting the need for hospitalization.
Authors: Bergomi L; Department of Electrical, Computer and Biomedical Engineering, Via Ferrata 5, Pavia, 27100, Italy. laura.bergomi01@universitadipavia.it., Nicora G; Department of Electrical, Computer and Biomedical Engineering, Via Ferrata 5, Pavia, 27100, Italy., Orlowska MA; Department of Electrical, Computer and Biomedical Engineering, Via Ferrata 5, Pavia, 27100, Italy., Podrecca C; Department of Electrical, Computer and Biomedical Engineering, Via Ferrata 5, Pavia, 27100, Italy., Bellazzi R; Department of Electrical, Computer and Biomedical Engineering, Via Ferrata 5, Pavia, 27100, Italy., Fregosi C; Department of Computer Science, Systems and Communication, University of Milano-Bicocca, Milan, Italy., Salinaro F; Emergency Medicine Unit and Emergency Medicine Postgraduate Training Program, Department of Internal Medicine, IRCCS Policlinico San Matteo Foundation, University of Pavia, Pavia, Italy., Bonzano M; Emergency Medicine Unit and Emergency Medicine Postgraduate Training Program, Department of Internal Medicine, IRCCS Policlinico San Matteo Foundation, University of Pavia, Pavia, Italy., Crescenzi G; Emergency Medicine Unit and Emergency Medicine Postgraduate Training Program, Department of Internal Medicine, IRCCS Policlinico San Matteo Foundation, University of Pavia, Pavia, Italy., Speciale F; Emergency Medicine Unit and Emergency Medicine Postgraduate Training Program, Department of Internal Medicine, IRCCS Policlinico San Matteo Foundation, University of Pavia, Pavia, Italy., Di Pietro S; Emergency Medicine Unit and Emergency Medicine Postgraduate Training Program, Department of Internal Medicine, IRCCS Policlinico San Matteo Foundation, University of Pavia, Pavia, Italy.; PhD Program in Experimental Medicine, University of Pavia, Pavia, Italy., Zuccaro V; Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy.; Infectious Diseases Unit, Fondazione IRCCS Policlinico di Pavia, Pavia, Italy., Asperges E; Infectious Diseases Unit, Fondazione IRCCS Policlinico di Pavia, Pavia, Italy., Sacchi P; Infectious Diseases Unit, Fondazione IRCCS Policlinico di Pavia, Pavia, Italy., Valsecchi P; Infectious Diseases Unit, Fondazione IRCCS Policlinico di Pavia, Pavia, Italy., Pagani E; Infectious Diseases Unit, Fondazione IRCCS Policlinico di Pavia, Pavia, Italy., Catalano M; Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy., Bortolotto C; Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy.; Radiology Department, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy., Preda L; Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy.; Radiology Department, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy., Parimbelli E; Department of Electrical, Computer and Biomedical Engineering, Via Ferrata 5, Pavia, 27100, Italy.
Source: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2025 Jul 16; Vol. 25 (1), pp. 269. Date of Electronic Publication: 2025 Jul 16.
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947 (Electronic) Linking ISSN: 14726947 NLM ISO Abbreviation: BMC Med Inform Decis Mak Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1472-6947
DOI:10.1186/s12911-025-03045-0