ArticleJAMIA open2026
Generative artificial intelligence implementation in REDCap.
Article in JAMIA open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To describe the Research Electronic Data Capture (REDCap) Consortium's initial implementation of generative artificial intelligence (AI) within the REDCap platform using a minimum viable product (MVP) strategy. Materials and methods: Guided by principles of security, optional adoption, and "human-in-the-loop" oversight, we developed and implemented three AI-assisted features: a writing helper, qualitative data summarization, and language translation. Features were disseminated as part of REDCap release 15.0. Results: During the first seven months post-release (January-August 2025), 18 institutions worldwide activated the REDCap generative AI module, with eight reporting sustained use across 1171 projects. At Vanderbilt University Medical Center, 958 projects used at least one feature, generating over 5700 generative AI API calls. Discussion: Early uptake demonstrates feasibility and researcher interest, though adoption depends on local AI tenant infrastructure and governance. Conclusion: The MVP provides generalizable lessons for securely and responsibly deploying generative AI within research electronic data capture systems.
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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 Socratic graph.