Background and Goal: In response to the growing need for reporting standards for evaluating artificial intelligence (AI) chatbot health advice studies for clinical purposes, researchers created the Chatbot Assessment Reporting Tool (CHART) so stakeholders can interpret results with confidence.
Key Insights: CHART was developed through a systematic review; a Delphi consensus process (a series of anonymous expert surveys to build agreement) with 531 international stakeholders; and three consensus meetings with a 48-member expert panel. The CHART statement outlines 12 key reporting items for chatbot health advice studies in the form of a checklist and methodological diagram.
Why It Matters: The CHART checklist and corresponding diagram of the method can support key stakeholders, including health system administrators, clinicians, researchers, editors, peer reviewers, and readers in reporting, understanding, and interpreting the findings of chatbot health advice studies.
Permanent link: Reporting Guideline for Chatbot Health Advice Studies: Chatbot Assessment Reporting Tool (CHART) Statement
Bright Huo, et al
Dalhousie University, Halifax, Canada
