Evidence map›Paper›PMID 40825997›Full record

ArticleNPJ digital medicine2025

Usability and adoption in a randomized trial of GutGPT a GenAI tool for gastrointestinal bleeding.

Sunny Chung, Mauro Giuffrè, Niroop Rajashekar, Yuan Pu, Yeo Eun Shin, Simone Kresevic, Colleen Chan, Shinpei Nakamura-Sakai, Kisung You, Theo Saarinen and 8 more

Registry-linked trialAbstract read
In one paragraph

Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05816473 (Artificial Intelligent Clinical Decision Support System Simulation Center Study), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

NCT05816473 nacompletednot on this map

Artificial Intelligent Clinical Decision Support System Simulation Center Study: Trust and Usefulness of Machine Learning Risk Stratification Tool for Acute Gastrointestinal Bleeding Using the Technology Acceptance Model

TypeinterventionalSponsorYale UniversityRan2023 to 2024Enrolled108ConditionsGastrointestinal HemorrhageArmsLLM
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. From Guidelines to Real-Time Conversation: Expert-Validated Retrieval-Augmented and Fine-Tuned GPT-4 for Hepatitis C Management.Liver international : official journal of the International Association for the Study of the Liver · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Sunny ChungYale School of Medicine Section of Digestive Diseases, New Haven, CT, USA. sunny.chung@yale.edu.
Mauro GiuffrèYale School of Medicine Section of Digestive Diseases, New Haven, CT, USA.
Niroop RajashekarYale School of Medicine Section of Digestive Diseases, New Haven, CT, USA.
Yuan PuYale School of Medicine Section of Digestive Diseases, New Haven, CT, USA.
Yeo Eun ShinUC Berkeley, Berkeley, CA, USA.
Simone KresevicYale School of Medicine Section of Digestive Diseases, New Haven, CT, USA.
Colleen ChanDepartment of Statistics and Data Science, Yale University, New Haven, CT, USA.
Shinpei Nakamura-SakaiDepartment of Statistics and Data Science, Yale University, New Haven, CT, USA.
Kisung YouDepartment of Mathematics, Baruch College, The City University of New York, New York, NY, USA.
Theo SaarinenDepartment of Statistics, UC Berkeley, Berkeley, CA, USA.
Allen HsiaoDepartment of Emergency Medicine, Yale School of Medicine, New Haven, CT, USA.
Ambrose H WongDepartment of Emergency Medicine, Yale School of Medicine, New Haven, CT, USA.
Leigh EvansDepartment of Emergency Medicine, Yale School of Medicine, New Haven, CT, USA.
Terika McCallYale School of Public Health, New Haven, CT, USA.
Rene F KizilcecDepartment of Information Science, Cornell University, Ithaca, NY, USA.
Jasjeet Sekhon *Department of Statistics and Data Science, Yale University, New Haven, CT, USA.
Loren Laine *Yale School of Medicine Section of Digestive Diseases, New Haven, CT, USA.
Dennis L Shung *Yale School of Medicine Section of Digestive Diseases, New Haven, CT, USA. shung.dennis@mayo.edu.

Funding

TRAINING PROGRAM IN INVESTIGATIVE GASTROENTEROLOGYT32DK007017 · NIDDK · YALE UNIVERSITY · PI Fred Sanford Gorelick, Liza Konnikova · 1986 to 2026
$7.1M
Deep Learning Approaches to Risk Stratification in Acute Gastrointestinal BleedingK23DK125718 · NIDDK · YALE UNIVERSITY · PI SHUNG, DENNIS · 2021 to 2025
$969k
NIDDK NIH HHS K23 DK125718NIDDK NIH HHS K23DK125718NIDDK NIH HHS T32 DK007017NIDDK NIH HHS T32DK007017
6 · The paper itself

Abstract

Generative AI (GenAI) may enhance clinical decision support systems (CDSS), but its impact on adoption remains unclear. We conducted a simulation-based randomized trial to evaluate whether a GenAI-enhanced CDSS, "GutGPT," improves adoption compared to an AI dashboard in acute upper gastrointestinal bleeding management. Clinical trainees were randomized to either GutGPT or a comparator dashboard across three cases. The primary outcome was Behavioral Intention, from the Unified Theory of Acceptance and Use of Technology (UTAUT). Secondary measures included additional constructs and decision accuracy. A total of 106 participants participated (52 GutGPT, 54 comparator). GutGPT users reported higher Effort Expectancy. Behavioral Intention had no significant difference. Qualitative analysis highlighted trust and workflow concerns. These findings suggest that usability alone is insufficient to drive adoption. As this study was conducted in a simulation without real-world integration or patient outcomes, further studies are needed. (Trial Registration: ClinicalTrials.gov; Identifier: NCT05816473; Registered March 6, 2023).

Identifiers

PMID40825997
PMCPMC12361555

What OpenQuestion holds

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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.