Search

Thomas R. Hartka, MD, MS, MSDS

Thomas R. Hartka, MD, MS, MSDS

HartkaThomas[1]Associate Professor of Emergency Medicine
Associate Professor of Mechanical and Aerospace Engineering
Interim Vice-Chair of Research, Department of Emergency Medicine
Assistant Medical Director, UVA Center for Applied Biomechanics

P.O. Box 800699
Charlottesville, VA 22908-0699
Phone: 434-924-8485
Fax: 434-924-2877
E-mail: trh6u@uvahealth.org

Education

  • M.S.D.S., Data Science, University of Virginia (2021)
  • Trauma Biomechanics Fellowship, University of Virginia (2014)
  • Residency, Emergency Medicine, University of Virginia (2013)
  • M.D., University of Virginia (2010)
  • Post-Baccalaureate Premedical Program, John Hopkins University (2005)
  • M.S., Computer Engineering, Virginia Polytechnic Institute and State University (2004)
  • B.S., Computer Engineering, Virginia Polytechnic Institute and State University (2002)

Clinical and Research Interests

  • Blunt Force Thoracic Trauma
  • Radiographic Interpretation of Injury and Accident Reconstruction
  • Motor Vehicle Crash Occupant Kinematics during Collisions
  • Pre-hospital Patient Care and Triage
  • Pre-hospital provider education
  • Mobile computing for medical education
  • High-fidelity simulation

NIH Grant

2021-2022: Novel deep learning strategy to translate ICD Codes to the Abbreviated Injury Scale. National Center For Advancing Translational Sciences of the National Institutes of Health.

Role: Principal Investigator – Thomas R. Hartka, MD, MS

Recent Publications

Google Scholar

Publications
  • Hartka TR, McMurry T, Weaver A, Vaca FE. Development of a concise injury severity prediction model for pediatric patients involved in a motor vehicle collision. Traffic Inj Prev. 2021;22(sup1):S74-S81. doi: 10.1080/15389588.2021.1975275. Epub 2021 Oct 21. PMID: 34672889; PMCID: PMC8792360.
  • Makutonin M, Hartka T, Lo B, Lozano M, Smith M, Heidish R, Sarani B, Meltzer A. 142 Derivation and Validation of a Clinical Risk Score to Predict Need for Intensive Care Unit Utilization After Initial Emergency Department Evaluation of Patients With Acute Traumatic Injuries. Annals of Emergency Medicine, 2024-10-01, Volume 84, Issue 4, Pages S67-S67
  • Doshi, A., Marche, C., Chernyavskiy, P., Glass, G., & Hartka, T. (2024). Comparison of deep learning approaches to estimate injury severity from the International Classification of Diseases codes. Traffic Injury Prevention, 1–8. https://doi.org/10.1080/15389588.2024.2356663
  • Sartin EB, Pfeiffer MR, Hartka T, Zonfrillo MR, Vaca FE, Metzger KB, Goodman AM, Curry AE, Myers RK. Congruency of crash- and hospital- reported injuries among child passengers. Am J Prev Med. 2024 Jul 16:S0749-3797(24)00245-9. doi: 10.1016/j.amepre.2024.07.008. Epub ahead of print. PMID: 39025247.
  • Espelien C, Jin R, Mostofizadeh S, et al. Seat Belt Use in the US by Pregnant Motor Vehicle Occupants. JAMA Netw Open. 2023;6(9):e2334272. doi:10.1001/jamanetworkopen.2023.34272
  • Hartka T, Chernyavskiy P, Glass G, Yaworsky J, Ji Y. Evaluation of Neural Machine translation for conversion of International Classification of disease codes to the Abbreviated injury Scale. Accid Anal Prev. 2023 Oct;191:107183. doi: 10.1016/j.aap.2023.107183. Epub 2023 Jul 5. PMID: 37418869.

Google Scholar

Publications