MEHMET U.S. AYVACI
areas of research broadly focus on economics of health
information/information technology (HIT) and medical
applications of decision theory.
As an example to my health information and HIT work, I worked on research problems around i) the design of payment models to incentivize the adoption of technology, ii) the impact of technology adoption on operations and outcomes, and iii) relationship between information sharing, guideline design, and physician behavior.
My work on clinical decision making relates to interactions between medical decisions and health policy. As part of my work in medical decision making, I developed an interest in using analytics and data mining to create predictive algorithms in helping physicians make better decisions. I am a strong believer in data-driven decision making playing a significant role in delivery of health care in the future. Therefore, to me, identifying factors that mediate the conversion from information to knowledge to wisdom is critical.
I enjoy interdisciplinary
research and have closely collaborated with researchers from
various disciplines including economics, computer science,
bioinformatics, medicine. Because of the interdisciplinary
nature of my work, besides publishing in management journals, I
also publish in clinical and medical-informatics journals on the
broader subjects of cost-effectiveness, comparative
effectiveness, and analytics in healthcare.
research was recognized by various organizations including
INFORMS Decision Analysis Society, INFORMS Information Systems
Society, and Workshop on Health Information Technology and
Below, I provide a brief list of my most recent work. Please check my CV for more detail.
Economics of Health Information and Technology
Does Health Information Exchange Move the Patient in Emergency Departments Faster? With Ayer T, Karaca Z, Vlachy J (working paper)
Health Information Exchange Adoption in the Face of Payment Reform. With Cavusoglu H, Raghunathan S, Kim Y. (working paper)
IT Can Create Vulnerabilities, Standards Can Mitigate Them: Flexibility in Health Practice Guideline Design to Reduce Litigation Concerns With Kim Y, Raghunathan S, Ayer T (working paper)
The Business of Healthcare: Physician Integration in Bundled Payments With Vlachy J, Ayer T, Raghunathan S (working paper)
Healthcare Applications of Decision Theory
The Effect of Budgetary Restrictions on Breast Cancer Diagnostic Decisions. Ayvaci MUS, Alagoz O, Burnside ES. Manufacturing & Service Operations Management. 2012
The Role of Patient Preferences in Optimally Managing Post-Mammography Diagnostic Decisions. Ayvaci MUS, Ahsen ME, Alagoz O, Burnside E. (working paper)
Timing the Use of Breast Cancer Risk Information in Biopsy Decision Making. Ayvaci MUS, Ahsen ME, Raghunathan S, Gharibi Z. (See news for the publicity of this work) Production and Operations Management. Forthcoming.
Analytics/Machine Learning in Healthcare
Classification Under Anchoring Bias: An Application to Judgments in Breast Imaging. Ahsen ME, Raghunathan S, Ayvaci MUS. (working paper)
Estimating Waiting Time for Deceased Donor Renal Transplantation in the Era of New Kidney Allocation System. F Torlak, Ayvaci MUS, Ahsen ME, Arce C, Vazquez MA, Tanriover B. (Accepted at Transplantation Proceedings)
Predicting Invasive Breast Cancer versus DCIS in Different Age Groups. Ayvaci MUS, Alagoz O, Chhatwal J, del Rio AM, Sickles E, Nassif H, Kerlikowske K, Burnside ES. BMC Cancer, 14:584, 2014.
A Comprehensive Methodology for Determining the Most Informative Mammographic Features. Wu Y, Alagoz O, Ayvaci MUS, Munoz del Rio A, Vanness DJ, Woods R, Burnside ES. Journal of Digital Imaging. 26 (5), p. 941-947, 2013.
Computer Aided Diagnostic Models in Breast Cancer Screening. Ayer T, Ayvaci MUS, Liu ZX,Alagoz O, Burnside ES. Imaging in Medicine, 2(3) p. 313-23, 2010.
Health Economics (Comparative- and Cost-Effectiveness)
Cost-Effectiveness of Adjuvant FOLFOX and LV5FU2 Chemotherapy for Patients with Stage II Colon Cancer. Ayvaci MUS, Shi K, Alagoz O, Lubner S. Medical Decision Making. 33 (4), p.521-532, 2013.
Comparative Effectiveness Analysis of Induction Therapy in Live Donor Kidney Transplantation. Tanriover B, Zhang S, Gao A, Sandikci B, Ayvaci MUS, Mete M, Tsapepas D, Rajora N, Mohan P, Lakhia R, Lu C, Vazquez M (Accepted to CJASN - Published Alongside an Editorial)
Cost-Effectiveness Analysis of Immunosuppression Therapy in Primary Deceased Donor Renal Transplantation. Gharibi Z, Ayvaci MUS, Hahsler M, Tanriover B. (accepted at Transplantation)
Uniformization in Markov Decision Processes Alagoz O, Ayvaci MUS. Encyclopedia for Operations Research and Management Science edited by James J. Cochran, John Wiley & Sons, Inc. 2011. (Book chapter).
Optimally Solving Markov Decision Processes with Total Expected Discounted Reward Function: Linear Programming Revisited. Alagoz O, Ayvaci MUS, Linderoth J T, Computers &
Industrial Engineering (2015), doi: http://dx.doi.org/10.1016/j.cie.2015.05.031
Searching for a Hotel Room: Real-time Management of Agents' Search Behavior With Bhattacharjee A, Mookerjee V, Mookerjee R. (work in progress)