Annemarie Hirsch
Assistant Professor

LOCATION(S)
Department of Epidemiology and Health Services Research
100 North Academy Avenue
Danville, PA 17822
Phone: 570-214-4880
Fax: 570-214-9451
aghirsch@geisinger.edu

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. 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

Education

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