ArticleJournal of the American Medical Informatics Association : JAMIA2026
GARDE-Chat: a scalable, open-source platform for building and deploying health chatbots.
Article in Journal of the American Medical Informatics Association : JAMIA, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Using the CFIR 2.0 Framework to Assess the Implementation of GARDE: A Population Health Management Tool for Hereditary Cancer Risk.Research square · 2026Article
- A Chatbot to Meet Parents' Information Needs for Sickle Cell Trait Newborn Screening Results: Multiple Methods Formative Study.Journal of medical Internet research · 2026Article
- Views on a Chatbot for Cancer Family History Collection among Leaders of Hispanic and Pacific Islander Communities in Utah.Public health genomics · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
23 authors.
Funding
Abstract
backgroundChatbots are increasingly used to deliver health education, patient engagement, and access to healthcare services. GARDE-Chat is an open-source platform designed to facilitate the development, deployment, and dissemination of chatbot-based digital health interventions across different domains and settings. MATERIALS AND
methodsGARDE-Chat was developed through an iterative process informed by real-world use cases to guide prioritization of key features. The tool was developed as an open-source platform to promote collaboration, broad dissemination, and impact across research and clinical domains.
resultsGARDE-Chat's main features include (1) a visual authoring interface that allows non-programmers to design chatbots; (2) support for scripted, large language model (LLM)-based and hybrid chatbots; (3) capacity to share chatbots with researchers and institutions; (4) integration with external applications and data sources such as electronic health records and REDCap; (5) delivery via web browsers or text messaging; and (6) detailed audit log supporting analyses of chatbot user interactions. Since its first release in July 2022, GARDE-Chat has supported the development of chatbot-based interventions tested in multiple studies, including large pragmatic clinical trials addressing topics such as genetic testing, COVID-19 testing, tobacco cessation, and cancer screening. DISCUSSION: Ongoing challenges include the effort required for developing chatbot scripts, ensuring safe use of LLMs, and integrating with clinical systems.
conclusionGARDE-Chat is a generalizable platform for creating, implementing, and disseminating scalable chatbot-based population health interventions. It has been validated in several studies, and it is available to researchers and healthcare systems through an open-source mechanism.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.