Maria Mayorga

Professor of Personalized Medicine

 
Maria Mayorga joined North Carolina State University in August 2013 as a Chancellor’s Faculty Excellence Program cluster hire in Personalized Medicine. She is a Professor in the Edward P. Fitts Department of Industrial and Systems Engineering and part of the Healthcare Systems Engineering group. Her goal is to address fundamental research barriers in moving from estimates of efficacy to estimates of the effectiveness of interventions or policies by explicitly considering individual patient preferences when the underlying patient population is heterogeneous. She is also interested in optimally allocating resources in Emergency Medical Service systems. To achieve these goals Mayorga will create analytical models of health systems that incorporate patient-level data. She uses techniques such as simulation, dynamic programming, applied probability, queuing theory and mathematical programming. She employs multiple sources of secondary data and a mixed methods approach to enable predictions of health outcomes at levels for which it is difficult to conduct studies in practice. This research is inherently interdisciplinary and is thus facilitated via collaborations with health services researchers such as epidemiologists, economists, and medical doctors.

Prior to joining the NC State faculty, she was on the faculty at Clemson University, Department of Industrial Engineering for seven years. She has authored over 40 publications in archival journals and refereed proceedings. Her research has been supported by NIH and NSF, among others. She received the distinguished National Science Foundation CAREER Award for her work to incorporate patient choice into predictive models of health outcomes.
 

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Publications

Assigning spontaneous volunteers to relief efforts under uncertainty in task demand and volunteer availability
Paret, K. E., Mayorga, M. E., & Lodree, E. J. (2021), OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 99. https://doi.org/10.1016/j.omega.2020.102228
Notice to comply: A systematic review of clinician compliance with guidelines surrounding acute hospital-based infection management
McKenzie, K. E., Mayorga, M. E., Miller, K. E., Singh, N., Arnold, R. C., & Romero-Brufau, S. (2020). [Review of , ]. AMERICAN JOURNAL OF INFECTION CONTROL, 48(8), 940–947. https://doi.org/10.1016/j.ajic.2020.02.006
Prepositioning disaster relief supplies using robust optimization
Velasquez, G. A., Mayorga, M. E., & Ozaltin, O. Y. (2020), IISE TRANSACTIONS. https://doi.org/10.1080/24725854.2020.1725692
The potential impact of the Affordable Care Act and Medicaid expansion on reducing colorectal cancer screening disparities in African American males
Powell, W., Frerichs, L., Townsley, R., Mayorga, M., Richmond, J., Corbie-Smith, G., … Lich, K. H. (2020), PLOS ONE, 15(1). https://doi.org/10.1371/journal.pone.0226942
An effective integer program for a general assembly line balancing problem with parallel workers and additional assignment restrictions
Pearce, B. W., Antani, K., Mears, L., Funk, K., Mayorga, M. E., & Kurz, M. E. (2019), Journal of Manufacturing Systems, 50, 180–192. https://doi.org/10.1016/J.JMSY.2018.12.011
Colorectal cancer screening in newly insured Medicaid members: a review of concurrent federal and state policies
Meghan C. O'Leary, Lich, K. H., Gu, Y., Wheeler, S. B., Coronado, G. D., Bartelmann, S. E., … Davis, M. M. (2019). [Review of , ]. BMC HEALTH SERVICES RESEARCH, 19. https://doi.org/10.1186/s12913-019-4113-2
Estimating the impact of insurance expansion on colorectal cancer and related costs in North Carolina: A population-level simulation analysis
Lich, K. H., Meghan C. O'Leary, Nambiar, S., Townsley, R. M., Mayorga, M. E., Hicklin, K., … Wheeler, S. B. (2019), PREVENTIVE MEDICINE, 129. https://doi.org/10.1016/j.ypmed.2019.105847
Identifying trade-offs in equity and efficiency for simultaneously optimizing location and multipriority dispatch of ambulances
Enayati, S., Mayorga, M. E., Toro-Diaz, H., & Albert, L. A. (2019), INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH, 26(2), 415–438. https://doi.org/10.1111/itor.12590
Mailed FIT (fecal immunochemical test), navigation or patient reminders? Using microsimulation to inform selection of interventions to increase colorectal cancer screening in Medicaid enrollees
Davis, M. M., Nambiar, S., Mayorga, M. E., Sullivan, E., Hicklin, K., Meghan C. O'Leary, … Wheeler, S. B. (2019), PREVENTIVE MEDICINE, 129. https://doi.org/10.1016/j.ypmed.2019.105836
Objective measures of workload in healthcare: a narrative review
Fishbein, D., Nambiar, S., McKenzie, K., Mayorga, M., Miller, K., Tran, K., … Capan, M. (2019), INTERNATIONAL JOURNAL OF HEALTH CARE QUALITY ASSURANCE. https://doi.org/10.1108/IJHCQA-12-2018-0288

View all publications via NC State Libraries

Grants

  • Integrated Systems Model to Inform State and Local Level Planning for the COVID-19 Pandemic
  • Framework and Tools for Modeling Intervention Impact
  • Collaborative Research RAPID: Matriculation and Well-Being Under Emergent Events (MWEE): Using Data to Empower Campus Communities in Times of Crisis
  • RAPID: Health Systems and Patients Grapple with Medical Surge in the Era of COVID-19
  • Projecting Impacts of Colorectal Cancer Screening on Lifelong CRC Outcomes
  • ISN2: Interpretable and Automated Detection of Illicit Massage Businesses
  • RAPID: Collaborative Research: Defining a Performance Measurement Framework for Spontaneous Volunteer Management Systems in Post-Disaster Relief
  • Improving Patient Throughput in the Emergency Department at Southeastern Regional Medical Center
  • UNC Center for Health Promotion and Disease Prevention Year 5
  • Analytics-Based Platform for Diabetic Retinopathy Care Management
Maria Mayorga