R. Andrew Taylor, MD, MHS
R. Andrew Taylor, MD, MHS
Professor of Emergency Medicine
Vice Chair of Research and Innovation
P.O. Box 800699
Charlottesville, VA 22908-0699
Phone: (434) 924-8485
Fax: (434) 924-2877
E-mail: KQC5MK@uvahealth.org
Education
- MHS (Informatics Focus), Yale University School of Medicine (2015)
- Fellowship, Emergency Ultrasound, Yale University (2010)
- MD, Medicine, Emory University School of Medicine (2007)
- BS, Physics, University of Mississippi (2003)
Clinical and Research Interests
- AI & machine learning research
- Biomedical informatics and data science
- Biostatistics
Current Grants
Agency: National Institute on Drug Abuse/NIH/DHHS
ID#: 1R61DA059169-01
Title: Leveraging Data to Action: Accelerating Emergency Department OUD Care by Improving Data Access and Infrastructure
PI: Andrew Taylor, Arjun Venkatesh, Kathryn Hawk
Role on project: Multiple-PI
Percent effort: 20%
Total costs: $4,469,000
Project period: 09/01/2023 – 08/31/2028
Agency: National Library of Medicine/NIH/DHHS
Title: Addressing Factual Inaccuracy and Unfaithful Reasoning of Large Language Models in Biomedicine and Healthcare
PI: Qingyu Chen
Role on project: Co-Investigator
Percent effort: 5%
Total costs: $1,670,950
Project period: 07/01/2024 – 06/30/2028
Agency: Marie Curie Research Grants Scheme
ID#: 1221
Title: Using Artificial Intelligence to Address Health Inequalities in Identifying People with Palliative and End of Life Care Needs: The NHS Unscheduled Care Geriatric End of Life Screening tool (NU-GEST)
PI: Sarah Mill
Role on project: Co-Investigator
Percent effort: In-kind
Total costs: $149,863
Project period: 1/05/2024-1/05/2026
Agency: National Institute of Mental Health/NIH/DHHS
ID#: 1K23MH126366-01A1
Title: Clinical Decision Support Tool to Assess Risk and Prevent Agitation Events
PI: Ambrose Wong
Role on project: Co-Investigator
Percent effort: 1%
Total costs: $883,160
Project period: 09/15/21-08/31/2025
Agency: National Institute of Neurological Disorders and Stroke/NIH/DHHS
ID#: 1U24NS129500-01
Title: Yale-METRO Metropolitan Emergency Trial Network to Advance Patient Outcomes
PI: Gail D’Onofrio
Role on project: Co-Investigator, Primary IT lead
Percent effort: 2.5%
Total costs: $2,149,809
Project period: 01/01/2023 – 01/31/2028
Agency: National Institute on Drug Abuse/NIH/DHHS
ID#: 1R33DA059884-01
Title: ADAPT: Adaptive Decision support for Addiction Treatment
PI: Edward Melnick
Role: Co-Investigator
Percent effort: 5%
Total costs: $6,183,081
Project period: 12/01/2023 – 11/30/2028
Agency: Chief Scientist Office – Applied Health Research Programme
ID#: N/A
Title: Improving Unscheduled Care for People in their Last Year of Life
PI: Colin McCowan
Role on project: Co-Investigator
Percent effort: In-kind
Total costs: ~$ 1,000,000
Project period: 1/1/2024-1/1/2029
Agency: National Institute of Allergy and Infectious Diseases/NIH/DHHS
ID#: N/A
Title: A clinical decision tool to optimize the selection of antibiotics for patients with rifampicin-resistant Tuberculosis
PI: Reza Yaesoubi
Role on project: Co-Investigator
Percent effort: 10%
Total costs: $2,951,713
Project period: 07/01/2023 – 06/30/2028
Recent Publications
Google Scholar
Publications- Taylor, R. A., Sangal, R. B., Smith, M. E., Haimovich, A. D., Rodman, A., Iscoe, M. S., … & Declan, A. Leveraging artificial intelligence to reduce diagnostic errors in emergency medicine: Challenges, opportunities, and future directions. Academic Emergency Medicine.
- Andrew Taylor, M.D., M.H.S., Chris Chmura, R.N., Jeremiah Hinson, M.D., Ph.D., Benjamin Steinhart, M.S., Rohit Sangal, M.D., M.B.A., Arjun K. Venkatesh, M.D., M.B.A., M.H.S., Haipeng Xu, M.S., Inessa Cohen, M.P.H., Isaac V. Faustino, M.S., and Scott Levin, Ph.D. Impact of Artificial Intelligence–Based Triage Decision Support on Emergency Department Care.Published February 27, 2025 NEJM AI 2025;2(3) DOI: 10.1056/AIoa2400296
- Hinson, J.S., Taylor, R.A., Venkatesh, A., Steinhart, B.D., Chmura, C., Sangal, R.B. and Levin, S.R., Accelerated Chest Pain Treatment With Artificial Intelligence–Informed, Risk-Driven Triage. JAMA Internal Medicine.
- Huang, T., Safranek, C., Socrates, V., Chartash, D., Wright, D., Dilip, M., Sangal, R.B. and Taylor, R.A., Patient-Representing Population’s Perceptions of GPT-Generated Versus Standard Emergency Department Discharge Instructions: Randomized Blind Survey Assessment. Journal of Medical Internet Research, 26, p.e60336.
- Gilson, A., Chartash, D., Taylor, R.A. and Hart, L.C., 2024. Computationally derived transition points across phases of clinical care. npj Digital Medicine, 7(1), p.151.
- Socrates, V., Huang, T., Ai, X., Fereydooni, S., Chen, Q., Taylor, R.A. and Chartash, D., 2024, August. Yale at “Discharge Me!”: Evaluating Constrained Generation of Discharge Summaries with Unstructured and Structured Information. In Proceedings of the 23rd Workshop on Biomedical Natural Language Processing(pp. 724-730).
- Hinson JS, Levin SR, Steinhart BD, Chmura C, Sangal RB, Venkatesh AK, Taylor RA. Enhancing Emergency Department Triage Equity With Artificial Intelligence: Outcomes From a Multisite Implementation. Annals of Emergency Medicine. 2024 Nov 20
- Huang, T., Socrates, V., Gilson, A., Safranek, C., Chi, L., Wang, E.A., Puglisi, L.B., Brandt, C., Taylor, R.A. and Wang, K., 2024. Identifying incarceration status in the electronic health record using large language models in emergency department settings. Journal of Clinical and Translational Science, 8(1), p.e53.
- Haimovich, A.D., Burke, R.C., Nathanson, L.A., Rubins, D., Taylor, R.A., Kross, E.K., Ouchi, K., Shapiro, N.I. and Schonberg, M.A., 2024. Geriatric End-of-Life Screening Tool Prediction of 6-Month Mortality in Older Patients. JAMA Network Open, 7(5), pp.e2414213-e2414213.