ArticleJournal of the American Medical Informatics Association : JAMIA2024
Using a chat-based informed consent tool in large-scale genomic research.
Article in Journal of the American Medical Informatics Association : JAMIA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- IsAI & society · 2026Article
- Kauro, a graph-based chatbot for high-fidelity information transmission conversations.medRxiv : the preprint server for health sciences · 2026Article
- Empowering Patient Autonomy: The Role of Large Language Models (LLMs) in Scaffolding Informed Consent in Medical Practice.Bioethics · 2026Article
- eConsent vs traditional consent among prospective biobank participants: a randomized study within a study trial.npj digital public health · 2026Article
- eConsent vs. Traditional Consent Among Prospective Biobank Participants: A Randomized Trial.medRxiv : the preprint server for health sciences · 2025Article
- GREGoR: accelerating genomics for rare diseases.Nature · 2025Article
- Genome sequencing reveals the impact of pseudoexons in rare genetic disease.Genetics in medicine : official journal of the American College of Medical Genetics · 2025Article
- Augmenting research consent: should large language models (LLMs) be used for informed consent to clinical research?Research ethics · 2025Article
- Primary care patient and clinician attitudes about population genomic screening, informed decision-making needs, and the potential for Chatbot technology.Journal of genetic counseling · 2025Article
- Enabling Demonstrated Consent for Biobanking with Blockchain and Generative AI.The American journal of bioethics : AJOB · 2025Article
- The use of large language models to enhance cancer clinical trial educational materials.JNCI cancer spectrum · 2025Article
- GREGoR: Accelerating Genomics for Rare Diseases.ArXiv · 2024Article
- The Role of Artificial Intelligence in Nephrology Clinical Trials.Journal of the American Society of Nephrology : JASN · 2024Article
- Artificial Intelligence in Cardiovascular Clinical Trials.Journal of the American College of Cardiology · 2024Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
objectiveWe implemented a chatbot consent tool to shift the time burden from study staff in support of a national genomics research study. MATERIALS AND
methodsWe created an Institutional Review Board-approved script for automated chat-based consent. We compared data from prospective participants who used the tool or had traditional consent conversations with study staff.
resultsChat-based consent, completed on a user's schedule, was shorter than the traditional conversation. This did not lead to a significant change in affirmative consents. Within affirmative consents and declines, more prospective participants completed the chat-based process. A quiz to assess chat-based consent user understanding had a high pass rate with no reported negative experiences.
conclusionOur report shows that a structured script can convey important information while realizing the benefits of automation and burden shifting. Analysis suggests that it may be advantageous to use chatbots to scale this rate-limiting step in large research projects.
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What OpenQuestion holds
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.