Education and Training
- Resident, Emergency Medicine, Thomas Jefferson University, 2006 - 2009
- M.D., University of South Carolina, Columbia, 2006
In the News
- Virus fear leads to fewer patients in ERsApril 17, 2020
Clay, Alison S., Erin R. Leiman, Brent Jason Theiling, Yao Song, Blanca Blanca Iris Padilla, Nicholas M. Hudak, Ann Michelle Hartman, et al. “Creating a win-win for the health system and health Profession's education: a direct observation clinical experience with feedback iN real-time (DOCENT) for low acuity patients in the emergency department.” Bmc Med Educ 22, no. 1 (January 27, 2022): 66. https://doi.org/10.1186/s12909-022-03133-z.
Fenn, Alexander, Connor Davis, Daniel M. Buckland, Neel Kapadia, Marshall Nichols, Michael Gao, William Knechtle, Suresh Balu, Mark Sendak, and B Jason Theiling. “Development and Validation of Machine Learning Models to Predict Admission From Emergency Department to Inpatient and Intensive Care Units.” Ann Emerg Med 78, no. 2 (August 2021): 290–302. https://doi.org/10.1016/j.annemergmed.2021.02.029.
Theiling, B Jason, Kendrick V. Kennedy, Alexander T. Limkakeng, Pratik Manandhar, Alaatin Erkanli, and Stephen R. Pitts. “A Method for Grouping Emergency Department Visits by Severity and Complexity.” West J Emerg Med 21, no. 5 (August 21, 2020): 1147–55. https://doi.org/10.5811/westjem.2020.6.44086.
Sendak, Mark P., William Ratliff, Dina Sarro, Elizabeth Alderton, Joseph Futoma, Michael Gao, Marshall Nichols, et al. “Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study.” Jmir Med Inform 8, no. 7 (July 15, 2020): e15182. https://doi.org/10.2196/15182.
Theiling, B. J., R. Donohoe, M. Sendak, A. Bedoya, M. Gao, W. Ratliff, L. Denis, S. Balu, and C. O’Brein. “2 Sepsis Watch: A Successful Deployment of a Deep Learning Sepsis Detection and Treatment Platform.” In Annals of Emergency Medicine, 74:S1–2. Elsevier BV, 2019. https://doi.org/10.1016/j.annemergmed.2019.08.005.
Kennedy, K., B. J. Theiling, A. T. Limkakeng, P. Manandhar, A. Erkanlu, and S. Pitts. “217 A Method for Stratifying Emergency Department Visits by Severity and Complexity: National Hospital Ambulatory Medical Care Survey Items.” In Annals of Emergency Medicine, 74:S85–86. Elsevier BV, 2019. https://doi.org/10.1016/j.annemergmed.2019.08.385.