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Divya S. Subramaniam, Ph.D., M.P.H.

Associate Professor and Program Director
Health Data Science and Health Outcomes Research Programs

Courses Taught

ORES 5210 Foundations of Medical Diagnosis and Treatment, ORES 2320 Interprofessional Health Outcomes Research, ORES 5430 Health Outcomes Measurement, ORES 2310 Introduction to Clinical Medicine, HDS 5960 Health Data Science Capstone Experience

Education

  • Ph.D. in Public Health Studies, Â鶹´«Ã½
  • M.P.H. in Biosecurity and Disaster Preparedness, Â鶹´«Ã½
  • B.S. in Biology, University of Tulsa

Research Interests

Divya S. Subramaniam's research focuses on health outcomes and data science, with an emphasis on palliative care, health disparities, and epidemiology. Her work at the Â鶹´«Ã½ School of Medicine involves leveraging advanced health data analytics to improve patient outcomes, particularly among underserved populations. Subramaniam's recent studies have examined the impact of palliative care consultations on hospital costs and lengths of stay in metastatic cancer patients, and the utilization of mental health services in chronic illness management. She is also dedicated to understanding the social determinants of health and developing innovative strategies to address health inequities through rigorous data-driven research.

Publications and Media Placements

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Honors and Awards

  • Â鶹´«Ã½ Core Innovation Fellowship 07/2021-05/2022
  • Â鶹´«Ã½ CTTL Graduate Assistantship 08/2011-05/2014
  • Â鶹´«Ã½ Graduate Teaching Assistantship 08/2013-01/2013
  • Â鶹´«Ã½ Doctoral Research Fellowship 08/2009-05/2011
  • Â鶹´«Ã½ Research Assistantship 08/2006-05/2008
  • The University of Tulsa International Scholar 08/2002-05/2006

Professional Organizations and Associations

  • Frontiers in Public Health 
  • Journal of Multidisciplinary Healthcare - Manuscript Reviewer
  • American Public Health Association - Manuscript and Abstract Reviewer
  • International Society for Pharmacoeconomics and Outcomes Research - Abstract Reviewer
  • Health Care Systems Research Network - Abstract Reviewer
  • Alpha Epsilon Lambda 
  • Beta Beta Beta 
  • Alpha Phi Omega