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Reporting guideline for chatbot health advice studies: the Chatbot Assessment Reporting Tool (CHART) statement

Title: Reporting guideline for chatbot health advice studies: the Chatbot Assessment Reporting Tool (CHART) statement
Authors: Huo, Bright; Collins, Gary; Chartash, David; Thirunavukarasu, Arun; Flanagin, Annette; Iorio, Alfonso; Cacciamani, Giovanni; Chen, Xi; Liu, Nan; Mathur, Piyush; Chan, An-Wen; Laine, Christine; Pacella, Daniela; Berkwits, Michael; Antoniou, Stavros A.; Camaradou, Jennifer C.; Canfield, Carolyn; Mittelman, Michael; Feeney, Timothy; Loder, Elizabeth; Agha, Riaz; Saha, Ashirbani; Mayol, Julio; Sunjaya, Anthony; Harvey, Hugh; Ng, Jeremy Y.; Mckechnie, Tyler; Lee, Yung; Verma, Nipun; Stiglic, Gregor; Mccradden, Melissa; Ramji, Karim; Boudreau, Vanessa; Ortenzi, Monica; Meerpohl, Joerg; Vandvik, Per Olav; Agoritsas, Thomas; Samuel, Diana; Frankish, Helen; Anderson, Michael; Yao, Xiaomei; Loeb, Stacy; Lokker, Cynthia; Liu, Xiaoxuan; Guallar, Eliseo; Guyatt, Gordon
Contributors: Huo, Bright; Collins, Gary; Chartash, David; Thirunavukarasu, Arun; Flanagin, Annette; Iorio, Alfonso; Cacciamani, Giovanni; Chen, Xi; Liu, Nan; Mathur, Piyush; Chan, An-Wen; Laine, Christine; Pacella, Daniela; Berkwits, Michael; Antoniou, Stavros A.; Camaradou, Jennifer C.; Canfield, Carolyn; Mittelman, Michael; Feeney, Timothy; Loder, Elizabeth; Agha, Riaz; Saha, Ashirbani; Mayol, Julio; Sunjaya, Anthony; Harvey, Hugh; Ng, Jeremy Y.; Mckechnie, Tyler; Lee, Yung; Verma, Nipun; Stiglic, Gregor; Mccradden, Melissa; Ramji, Karim; Boudreau, Vanessa; Ortenzi, Monica; Meerpohl, Joerg; Vandvik, Per Olav; Agoritsas, Thoma; Samuel, Diana; Frankish, Helen; Anderson, Michael; Yao, Xiaomei; Loeb, Stacy; Lokker, Cynthia; Liu, Xiaoxuan; Guallar, Eliseo; Guyatt, Gordon
Publication Year: 2025
Collection: IRIS Università degli Studi di Napoli Federico II
Subject Terms: Ethics; medical; Guideline adherence; Research design
Description: The Chatbot Assessment Reporting Tool (CHART) is a reporting guideline developed to provide reporting recommendations for studies evaluating the performance of generative artificial intelligence (AI)-driven chatbots when summarising clinical evidence and providing health advice, referred to as chatbot health advice studies. CHART was developed in several phases after performing a comprehensive systematic review to identify variation in the conduct, reporting, and method in chatbot health advice studies. Findings from the review were used to develop a draft checklist that was revised through an international, multidisciplinary, modified, asynchronous Delphi consensus process of 531 stakeholders, three synchronous panel consensus meetings of 48 stakeholders, and subsequent pilot testing of the checklist. CHART includes 12 items and 39 subitems to promote transparent and comprehensive reporting of chatbot health advice studies. These include title (subitem 1a), abstract/summary (subitem 1b), background (subitems 2a,b), model identifiers (subitems 3a,b), model details (subitems 4a-c), prompt engineering (subitems 5a,b), query strategy (subitems 6a-d), performance evaluation (subitems 7a,b), sample size (subitem 8), data analysis (subitem 9a), results (subitems 10a-c), discussion (subitems 11a-c), disclosures (subitem 12a), funding (subitem 12b), ethics (subitem 12c), protocol (subitem 12d), and data availability (subitem 12e). The CHART checklist and corresponding diagram of the method were designed to support key stakeholders including clinicians, researchers, editors, peer reviewers, and readers in reporting, understanding, and interpreting the findings of chatbot health advice studies.
Document Type: article in journal/newspaper
Language: English
Relation: volume:4; issue:1; journal:BMJ MEDICINE; https://hdl.handle.net/11588/1015295
DOI: 10.1136/bmjmed-2025-001632
Availability: https://hdl.handle.net/11588/1015295; https://doi.org/10.1136/bmjmed-2025-001632
Rights: info:eu-repo/semantics/openAccess ; license:Non specificato ; license uri:na
Accession Number: edsbas.A398D95
Database: BASE