Mehmet Ayvaci

Associate Professor - Management
Tags: Information Systems Healthcare Algorithms Medical Decisions

Professional Preparation

Ph.D. - Industrial and Systems Engineering
University of Wisconsin at Madison - 2012
M.S. - Management Science & Engineering
Stanford University - 2005
B.S. - Industrial Engineering
Texas A&M University - 2003

Research Areas

Research Interests
  • Algorithmic Decision Making
  • Economics of Health Information/IT
  • Healthcare Analytics
  • Medical Decision Making
  • Digital Vulnerabilities
  • Healthcare Operations Management
Application Areas
  • Health Information Exchanges
  • Patient-Oriented Technologies
  • Decisions in Breast Cancer Diagnosis and Transplantation
  • Healthcare Payment and Delivery Reform
Methods
  • Econometrics
  • Markov Decision Processes
  • Game Theory
  • Machine Learning

Publications

"Cost-effectiveness of adjuvant FOLFOX and LV5FU2 chemotherapy for patients with stage II coloncancer"  Ayvaci MUS, Shi J, Alagoz O, Lubner S  Medical Decision Making, 33 (4), p.521-532. 2013 - Publication
"The Effect of Budgetary Restrictions on Breast Cancer Diagnostic Decisions"  Ayvaci MUS, AlagozO, Burnside ES  Manufacturing & Service Operations Management, 14 (4) p. 600-617. 2012 - Publication

Appointments

Associate Professor
UT Dallas [2019–Present]
Visitin Assistant Professor
UT Austin [2017–2018]
Assistant Professor
UT Dallas [2012–2019]

Awards

Best Paper Award - INFORMS eBusiness Section [2018]
Best Paper Award Runner Up - CHITA [2018]
Distinguished Service Award - Management Science [2017]
Best Young Researcher Award - CHITA/WHITE [2016]
Best Paper Award Finalist - INFORMS CIST [2015]
Best Paper Award Finalist - CHITA/WHITE [2015]
Best Student Paper Award - INFORMS Decision Analysis Society [2012]
Honorable Mention - Doing Good with Good OR Competition [2012]

News Articles

Health Information Exchanges May Remedy Long Emergency Stays
Hospitals that adopt health information exchanges can reduce the amount of time patients stay in emergency departments, according to a new study from the Naveen Jindal School of Management at The University of Texas at Dallas.
Health information exchanges (HIEs) are technology platforms that ease the exchange of patient information between different health care providers and settings, including labs, hospitals, physician practices and pharmacies, said Dr. Mehmet Ayvaci, an assistant professor of information systems.