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, validating infrastructure decisions and scheduling for rural tele-cystoscopy clinics, and developing optimal treatment guidelines for small renal masses.
Education
Ph.D., Industrial Engineering, North Carolina State University, 2012
M.Sc., Operations Research, North Carolina State University, 2009
B.Sc., Mathematics, University of South Carolina, 2007
Research Interests
Decision analysis
Markov decision processes
Markov models
Monte Carlo simulation models
Discrete event simulation
Selected Publications
Clinical and Economic Outcomes of Patients Undergoing Guideline-Directed Management of Pancreatic Cysts. Am J Gastroenterol. 2020 Oct;115(10):1689-1697.
J.M. Lobo, J.M. Scheiman, V.M. Zaydfudim, V.M. Shami, B.G. Sauer
Blinded Comparison of Clarity, Proficiency and Diagnostic Capability of Tele-Cystoscopy Compared to Traditional Cystoscopy: A Pilot Study. J Urol. 2020 Oct;204(4):811-817.
J.M. Lobo, B. Horton, R.A. Jones, T. Tyson, P. Hill-Collins, T. Sims, J.J. Rueb, T. Corey, K. Rheuban, P. Battle, H. Beller, N. Schenkman, S. Culp, T.L. Krupski
Trends in Uninsured Rates Before and After Medicaid Expansion in Counties Within and Outside of the Diabetes Belt. Diabetes Care, Jan; dc190874, 2020.
Lobo, J.M., Kim, S., Kang, H., Ocker, G., McMurry, T.L., Balkrishnan, R., Anderson, R., McCall, A., Benitez, J., Sohn, M-W.
Adapting nurse-led cystoscopy experience to the United States: Tele-cystoscopy a possible compromise? International Journal of Urological Nursing, 2019 Jun.
H. Beller, J.M. Lobo, B.J. Horton, T. Sims, T. Corey, T. Tyson N.S. Schenkman, T.L. Krupski, R.A. Jones
Probabilistic sensitivity analysis on Markov models with uncertain transition probabilities: an application in evaluating treatment decisions for type 2 diabetes. Health Care Manag Sci. 2019 Mar;22(1):34-52.
Y. Zhang, H. Wu, B.T. Denton, J.R. Wilson, J.M. Lobo
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record. IEEE Access, Vol: 6
J. Zhang, K. Kowsari, J.H. Harrison, J.M. Lobo, L.E. Barnes
Optimization of Telemedicine Appointments in Rural Areas. Service Science, Special Issue on Advancing Health Services, 10(3)
S.A. Erdogan, T.L. Krupski, J.M. Lobo
Cost-related medication non-adherence among U.S. adults with diabetes. Diabetes Res Clin Pract. 2018 Sep:143:24-33.
H. Kang, J.M. Lobo, S. Kim, M. Sohn
Disparities in the Use of Diabetes Screening in Appalachia. J Rural Health
. 2018 Mar;34(2):173-181.
J.M. Lobo, R. Anderson, G.J. Stukenborg, A. McCall, H. Kang, F. Camacho, M. Sohn
Provider Role in Transmission of Carbapenem-Resistant Enterobacteriaceae. Infect Control Hosp Epidemiol. 2017 Nov;38(11):1329-1334.
M.E. Grabowski, H. Kang, K.M. Wells, C.D. Sifri, A.J. Mathers, J.M. Lobo
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.
J.M. Lobo, B.T. Denton, J.R. Wilson, N.D. Shah, S.A. Smith
