Featured Research Highlights
麻豆传媒's Department of Health and Clinical Outcomes Research (HCOR) is at the forefront of health services and data science.
Our faculty leads pioneering research in diverse health fields, contributing significantly to medical knowledge. Our graduate programs empower students with advanced skills and innovative methods to tackle pressing health issues, preparing them for impactful careers. Explore our department to learn more about our cutting-edge research and exceptional community.
Faculty and Staff
At 麻豆传媒 School of Medicine, the Department of Health and Clinical Outcomes Research (HCOR) is home to a diverse group of faculty members who are leaders in their fields. Their research spans critical areas such as health services, health equity, palliative care, oncology, vaccine hesitancy and health data science. These experts are dedicated to advancing medical knowledge and improving healthcare delivery through rigorous research, interdisciplinary collaboration, and innovative methodologies. Their work is widely recognized, published in top-tier journals, and presented at major conferences, significantly contributing to better health outcomes and policy advancements.
Recent Publications
Zhang Z, Lovell A, Subramaniam DS, Hinyard L. The Impact of Palliative Care Consultation on Aggressive Medical Interventions in
End-of-life Among Patients with Metastatic Breast Cancer: Insights from the U.S. National
Patient Sample. Journal of Palliative Care. 2024; 0(0). doi:
Subramaniam DS, Zhang Z, Timmer Z, DeMarco EC, Poirier MP, Hinyard LJ. Palliative Care and Mental Health among Pancreatic Cancer Patients in the United
States: An Examination of Service Utilization and Health Outcomes. Healthcare. 2024;
12(8):842. doi:
Puetz, John, Krithika Narayana Kumanan, and Zidong Zhang. "Is Confirmatory Testing Still Necessary to Diagnose Von Willebrand Disease?." Blood
Vessels, Thrombosis & Hemostasis, 2024; 1(1). doi:
Katherine R. Atcheson, MPH, CHES; Kristin Metcalf-Wilson, DNP, WHNP-BC; Carissa Ruf,
MPH, CHES; Dipti P. Subramaniam, PhD, MPH; Shelby Webb, MPH; and Jacki Witt, JD, MSN, WHNP-BC, FAAN P Welcome to the Clinician
Cafe 鈥� A unique learning model. Women's Healthcare, 2022; 10(6):40-43. doi:
Ragsdale, A. S., N. Al-Hammadi, S. Bass and N. R. Chavan. "Racial and Ethnic Disparities Among Pregnancies with
Substance Use Disorder: Impact on Perinatal Outcomes." Journal of Women's Health,
2024. doi:
Ph.D. Students
Ph.D. students at HCOR are emerging leaders in the health outcomes and health data science field. Their diverse dissertation and research projects tackle pressing issues such as COVID-19 spatial analysis, Parkinson鈥檚 Disease and aging, cancer disparities and the application of machine learning in healthcare. By learning and employing advanced research methods and innovative approaches, these students are growing academically and professionally.
Recent Publications
Meiklejohn, A., Subramaniam, D., Teni, M., Kalinowski M., (2024, April). The development and utilization
of content validity index (CVI) for the vaccine hesitancy and perception scale towards
COVID-19 vaccine (VHPSC-19). Oral presentation at the annual Health Care Systems Research
Network in Milwaukee, Wisconsin.
Meiklejohn, A., Subramaniam, D., Teni, M., Kalinowski M., (2023, November). The development and
utilization of content validity index (CVI) for the vaccine hesitancy and perception
scale towards COVID-19 vaccine (VHPSC-19). Poster session presented at the annual
American Public Health Association in Atlanta, Georgia.
Meiklejohn, A. (2023, May) The development and utilization of content validity index (CVI) for the
vaccine hesitancy scale towards COVID-19 vaccine (VHSC-19). Poster session presented
at the annual Graduate Research Symposium at 麻豆传媒.
Subramaniam DS, Zhang Z, Timmer Z, DeMarco EC, Poirier MP, Hinyard LJ. Palliative Care and Mental Health among Pancreatic Cancer
Patients in the United States: An Examination of Service Utilization and Health Outcomes.
Healthcare. 2024; 12(8):842. doi:
Ananya Ravi, Elisabeth C. DeMarco, Sarah Gebauer, Leslie Hinyard. 鈥淧revalence and Predictors of Depression in Women
with Osteoarthritis: Cross-Sectional Analysis of Nationally Representative Survey
Data.鈥� Healthcare. 2024; 12(5):502. doi:
DeMarco, E.C., Longhurst, J., & Hinyard, L. 鈥淓xploring relationships between state and trait anxiety
and depression in patients with Parkinson鈥檚 disease and controls: a cross-sectional
analysis.鈥� Ageing Neur Dis 2024; 4:2. doi:
Al-Hakeem, H., Zhang, Z., DeMarco, E. C., Bitter, C. C., & Hinyard, L. (2024). Emergency department visits in Parkinson's
disease: The impact of comorbid conditions. The American Journal of Emergency Medicine.
2023; 75, 7-13. doi:
Master's Students
The Master of Science in Health Data Science program at 麻豆传媒 focuses on equipping students with the expertise to conduct impactful health data science-related research. The program emphasizes advanced skills in data analysis, statistical modeling, and machine learning within healthcare contexts. Students engage in cutting-edge research projects that address critical health challenges.
Capstone Projects
- Eye Vessel Prediction
- Prediction of the Length of Stay in the U.S. Stroke Patients
- Bloom LLM for Question Answering
- The Prediction of Type 2 Diabetes and Analysis of Risk Factors
- Implementation of Machine Learning on the Quoting of Manufacturing Jobs