Annemarie Hirsch
Assistant Professor

Department of Epidemiology and Health Services Research
100 North Academy Avenue
Danville, PA 17822
Phone: 570-214-4880
Fax: 570-214-9451

Research Interests

My research is focused on conducting epidemiological research that leads to improvements in care delivery, and ultimately health outcomes. Among my long-term goals is to use my research to inform a broad approach to precision medicine that tailors treatment to the needs of patients within the context of where they live and their health behaviors, as well as their psychosocial, and genetic profiles. In pursuit of this goal, I have explored the role that clinical history, sociodemographics, community factors, and the microbiome play in outcomes and response to therapy among patients with chronic conditions, with a specific interest in diabetes, obesity, and atopic conditions. Much of this work leverages electronic health record (EHR) data. Therefore, I have focused substantial effort on the exploration of this data source. Specifically, I have developed and evaluated novel applications of EHR data in quality reporting, workflow measurement, predictive models, and disease management.

Recent Publications

  • Hirsch AG, Jones JB, Lerch VR, Tang X, Berger A, Clark DN, Stewart WF. The electronic health record audit file: The patient is waiting. JAMIA. July 3, 2016. Epub DOI: Full Text
  • Hirsch AG, Pollak J, Glass TA, Poulsen MN, Bailey-Davis L, Mowery J, Schwartz BS. Early life antibiotic use and subsequent diagnosis of food allergy and allergic disease. Clinical and Experimental Allergy. 2016 Aug 26. [epub ahead of print]
  • Hirsch AG, Schwartz BS, Sundaresan AS, et al. Nasal and sinus symptoms and chronic rhinosinusitis in a population-based sample. Allergy. 2016 September 19. [epub ahead of print]
  • Hirsch AG, Xiaowei Y, Sundaresan A, Tan BK, Schleimer RP, Kern RC, Kennedy TL, Greene JS, Schwartz BS. Five-year risk of incident disease following a diagnosis of chronic rhinosinusitis. Allergy. 2015; 70(12): 1613-1621.
  • Wood GC, Mirshahi T, Still CD, Hirsch AG. Predicting a cure for type 2 diabetes with the DiaRem Score. JAMA Surgery. April 20, 2016. (Advanced on-line pub) doi:10.1001/jamasurg.2016.0251


MPH, Columbia University Mailman School of Public Health, 2001-2003
PhD, The Ohio State University College of Public Health, 2008-2012