My research interests involve using mathematical modeling and stochastic optimization methods (primarily Markov modeling, Markov decision processes, and Monte Carlo simulation) to build models that simulate the natural course of disease. These models allow for estimation of outcomes under different screening and treatment policies in the absence of randomized controlled trials, and can be used to optimize screening and treatment decisions for patients with chronic diseases. My current projects include optimizing treatment and policy decisions for patients with type 2 diabetes, developing optimal treatment guidelines for small renal masses, and using modeling to determine the impact of vascular co-morbid disease and risk factor management on multiple sclerosis outcomes.
Associate Professor
Division of Biomedical Informatics
Department of Public Health Sciences
Ph.D., North Carolina State University, Industrial Engineering, 2012
P.O. Box 800717
Tel: 1-434-924-2813
Fax: 1-434-243-3418
Email: jem4yb@virginia.edu
Health System West Complex, Room 3003
Teaching Responsibilities:
PHS 7120 Comparative Effectiveness & Outcomes
Expertise:
Decision analysis, Markov decision processes, Markov models, Monte Carlo simulation models, discrete event simulation
Research Interests:
I am interested in using Operations Research methods to improve medical decision making and health care operations. My research primarily involves comparing clinical guidelines and designing optimal treatment and screening guidelines for patients with chronic diseases.
Selected Publications:
Yeaman, C., Marchant, R., Lobo, J.M., DeNovio, A., O’Connor, L., Wanchek, T., Ballantyne, C., Lambert, D.L., Mithqal, A., Schenkman, N., “Cost-effectiveness analysis: percutaneous microwave ablation vs robotic-assisted partial nephrectomy for small renal masses,” Abdominal Radiology, 48:411-17, 2023.
Lobo, J.M., Scheiman, J.M., Zaydfudim, V.M., Shami, V.M., and Sauer, B.G., “Clinical and Economic Outcomes of Patients Undergoing Guideline Directed Management of Pancreatic Cysts,” American Journal of Gastroenterology, 115(10):1689-1697, 2020.
Lobo, J.M., Horton, B., Jones, R.A., Tyson, T., Hill-Collins, P., Sims, T., Rueb, J.J., Corey, T., Rheuban, K., Battle, P., Beller, H., Schenkman, N., Culp, S., and Krupski, T.L., “Blinded Comparison of Clarity, Proficiency and Diagnostic Capability of Tele-Cystoscopy Compared to Traditional Cystoscopy, a Pilot Study,” Journal of Urology, 204(4): 811-7, 2020.
Lobo, J.M., Kim, S., Kang, H., Ocker, G., McMurry, T.L., Balkrishnan, R., Anderson, R., McCall, A., Benitez, J., Sohn, M-W., “Trends in Uninsured Rates Before and After Medicaid Expansion in the Diabetes Belt and Non-Belt Counties,” Diabetes Care, Jan; dc190874, 2020.
Lobo, J.M., Erdogan, S.A., Berg, B.P., Kang, H., Clements, M.B., Culp, S.H., Krupski, T.L., “Provider Scheduling to Maximize Patient Access,” Urology Practice, 7(5): 335-341, 2020.
Zhang, J., Kowsari, K., Harrison, J.H., Lobo, J.M., Barnes, L.E., “Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record,” IEEE Access, 6: 65333-65346, 2018.
Erdogan, S.A., Krupski, T.L., Lobo, J.M. “Optimization of Telemedicine Appointments in Rural Areas,” Service Science, Special Issue on Advancing Health Services, 10(3): 261-276, 2018.
Kang, H., Lobo, J.M., Kim, S., Sohn, M-W. “Cost-related medication non-adherence among U.S. adults with diabetes,” Diabetes Research and Clinical Practice, 143: 24-33, 2018.
Lobo, J.M., Denton, B.T., Wilson, J.R., Shah, N.D., Smith, S.A., “Using Claims Data Linked with Electronic Health Records to Monitor and Improve Adherence to Medication,” IISE Transactions on Healthcare Systems Engineering, 7(4): 194-214, 2017.
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