R. Andrew Taylor, MD, MHS
R. Andrew Taylor, MD, MHS
PubMed
Publications
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
PubMed
PublicationsBio
Dr. R. Andrew Taylor is a tenured Professor of Emergency Medicine at University of Virginia and serves as the department’s Vice Chair of Research and Innovation. He is actively building out the research division, leveraging medical data, and working collaboratively with the School of Data Science as well as other university partners.
Dr. Taylor is an international leader in digital health and artificial intelligence, specializing in the integration of emerging technologies into clinical practice. His research spans interdisciplinary domains, addressing not only the technical aspects of AI-driven clinical decision support but also the ethical, social, and implementation challenges that shape the future of digital health. At UVA, he aims to build initiatives that bridge medicine, data science, and policy to drive responsible and impactful innovation in emergency care and beyond.
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