Protocol for the development of the Chatbot Assessment Reporting Tool (CHART) for clinical advice
Protocol for the development of the Chatbot Assessment Reporting Tool (CHART) for clinical advice
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Author / Creator
CHART Collaborative , The CHART Collaborative , Huo, Bright , McKechnie, Tyler , Chartash, David , Marshall, Iain J , Moher, David , Ng, Jeremy Y , Loder, Elizabeth , Feeney, Timothy , Chan, An-Wen , Berkwits, Michael , Flanagin, Annette , Antoniou, Stavros A , Laine, Christine , Collins, Gary S , Saha, Ashirbani , Mathur, Piyush , Iorio, Alfonso , Lee, Yung , Samuel, Diana , Frankish, Helen , Ortenzi, Monica , Mayol, Julio , Lokker, Cynthia , Agoritsas, Thomas , Vandvik, Per Olav , Foroutan, Farid , Meerpohl, Joerg J , Campos, Hugo , Canfield, Carolyn , Lao, Xufei , Chen, Yaolong , Harvey, Hugh , Loeb, Stacy , Agha, Riaz , Ramji, Karim , Ahmed, Hassaan , Boudreau, Vanessa and Guyatt, Gordon
Publisher
England: British Medical Journal Publishing Group
Journal title
Language
English
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Publisher
England: British Medical Journal Publishing Group
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Scope and Contents
Contents
IntroductionLarge language model (LLM)-linked chatbots are being increasingly applied in healthcare due to their impressive functionality and public availability. Studies have assessed the ability of LLM-linked chatbots to provide accurate clinical advice. However, the methods applied in these Chatbot Assessment Studies are inconsistent due to the lack of reporting standards available, which obscures the interpretation of their study findings. This protocol outlines the development of the Chatbot Assessment Reporting Tool (CHART) reporting guideline.Methods and analysisThe development of the CHART reporting guideline will consist of three phases, led by the Steering Committee. During phase one, the team will identify relevant reporting guidelines with artificial intelligence extensions that are published or in development by searching preprint servers, protocol databases, and the Enhancing the Quality and Transparency of health research Network. During phase two, we will conduct a scoping review to identify studies that have addressed the performance of LLM-linked chatbots in summarising evidence and providing clinical advice. The Steering Committee will identify methodology used in previous Chatbot Assessment Studies. Finally, the study team will use checklist items from prior reporting guidelines and findings from the scoping review to develop a draft reporting checklist. We will then perform a Delphi consensus and host two synchronous consensus meetings with an international, multidisciplinary group of stakeholders to refine reporting checklist items and develop a flow diagram.Ethics and disseminationWe will publish the final CHART reporting guideline in peer-reviewed journals and will present findings at peer-reviewed meetings. Ethical approval was submitted to the Hamilton Integrated Research Ethics Board and deemed “not required” in accordance with the Tri-Council Policy Statement (TCPS2) for the development of the CHART reporting guideline (#17025).RegistrationThis study protocol is preregistered with Open Science Framework: https://doi.org/10.17605/OSF.IO/59E2Q....
Alternative Titles
Full title
Protocol for the development of the Chatbot Assessment Reporting Tool (CHART) for clinical advice
Authors, Artists and Contributors
Author / Creator
The CHART Collaborative
Huo, Bright
McKechnie, Tyler
Chartash, David
Marshall, Iain J
Moher, David
Ng, Jeremy Y
Loder, Elizabeth
Feeney, Timothy
Chan, An-Wen
Berkwits, Michael
Flanagin, Annette
Antoniou, Stavros A
Laine, Christine
Collins, Gary S
Saha, Ashirbani
Mathur, Piyush
Iorio, Alfonso
Lee, Yung
Samuel, Diana
Frankish, Helen
Ortenzi, Monica
Mayol, Julio
Lokker, Cynthia
Agoritsas, Thomas
Vandvik, Per Olav
Foroutan, Farid
Meerpohl, Joerg J
Campos, Hugo
Canfield, Carolyn
Lao, Xufei
Chen, Yaolong
Harvey, Hugh
Loeb, Stacy
Agha, Riaz
Ramji, Karim
Ahmed, Hassaan
Boudreau, Vanessa
Guyatt, Gordon
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_86bb6c7a631d4b7b82830d5be81f591a
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_86bb6c7a631d4b7b82830d5be81f591a
Other Identifiers
ISSN
2044-6055
E-ISSN
2044-6055
DOI
10.1136/bmjopen-2023-081155