Yale Simulation Study Reveals Key Insights on AI Decision Support Acceptance in GI Bleeding — Implications for Australian Emergency Medicine
247 Health News Editorial
·31 May 2026
·4 min read
·clinical-trialsYale simulation study reveals how interface design affects physician acceptance of AI decision support tools for GI bleeding. Key insights for Australian emergency medicine and gastroenterology training programs implementing clinical AI systems.
Originally reported by ClinicalTrials.gov
References
- 1.Yale University. (2024). 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. ClinicalTrials.gov. NCT05816473. https://clinicaltrials.gov/study/NCT05816473
- 2.Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540
- 3.Laine, L., & Jensen, D. M. (2012). Management of patients with ulcer bleeding. American Journal of Gastroenterology, 107(3), 345-360. https://doi.org/10.1038/ajg.2012.57
- 4.Hearnshaw, S. A., Logan, R. F., Lowe, D., Travis, S. P., Murphy, M. F., & Palmer, K. R. (2011). Acute upper gastrointestinal bleeding in the UK: patient characteristics, diagnoses and outcomes in the 2007 UK audit. Gut, 60(10), 1327-1335. https://doi.org/10.1136/gut.2010.228437
- 5.Stanley, A. J., Laine, L., Dalton, H. R., Ngu, J. H., Schultz, M., Abazi, R., ... & International Gastrointestinal Bleeding Consortium. (2017). Comparison of risk scoring systems for patients presenting with upper gastrointestinal bleeding: international multicentre prospective study. BMJ, 356, i6432. https://doi.org/10.1136/bmj.i6432
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