Details

Autor(en) / Beteiligte

• 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

Titel

Protocol for the development of the Chatbot Assessment Reporting Tool (CHART) for clinical advice

Ist Teil von

• BMJ open, 2024-05, Vol.14 (5), p.e081155-e081155

Ort / Verlag

England: British Medical Journal Publishing Group

Erscheinungsjahr

2024

Link zum Volltext

Quelle

Free E-Journal (出版社公開部分のみ）

Beschreibungen/Notizen

• 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.