CHLM Research Papers

  • Qin, J., Chan, C.W., Dong, J., Homma, S. and Ye, S., 2024. Telemedicine is associated with reduced socioeconomic disparities in outpatient clinic no-show rates. Journal of Telemedicine and Telecare, 30(9), pp.1507-1515.
  • Yoon, T.J. and Kim, T.T., 2024. The role of advertising in high-tech medical procedures: Evidence from robotic surgeries. Journal of Marketing, 88(1), pp.97-115.
  • Ayvaci, M.U.S., Jacob, V.S., Ryu, Y., Gundreddy, S.P.S. and Tanriover, B., 2024. Clinically Guided Adaptive Machine Learning Update Strategies for Predicting Severe COVID-19 Outcomes. The American Journal of Medicine.
  • Ariyamuthu, V.K., Cheng, X.S., Hippen, B., Bloom, R.D., Acharya, D., Araj, F., Gungor, A.B., Alhamad, T., Singh, N., Anand, P.M. and Gupta, G., Akalin E., Molnar M., Mete M., Ayvaci M. U. S., Doshi M., Tanriover B. 2024. The final rule in a bind: What we are learning from suboptimal simultaneous heart-kidney outcomes and potential solutions to the problem.
  • Thurgood, K.L. 2023. Enterprise Leadership: A new model. Journal of Business and Economics (ISSN2155-7950). Published December 2023, JBE20231017-1(2024)
  • Wang, Guihua. 2023. Does telemedicine affect physician decisions? Evidence from antibiotic prescriptions (coauthored with TI Kim and Shujing Sun), won the 2023 Conference on Health IT and Analytics (CHITA) best paper competition
  • Wang, Guihua. 2023. A multi-treatment forest approach for analyzing the heterogeneous effects of team familiarity (coauthored with Minmin Zhang, Wallace Hopp, and Michael Mathis), was named (1) runner-up for the POMS College of Healthcare Operations Management Best Paper Award, as well as runner-up for POMS College of Service Operations Management Best Student Paper Award, and was also the finalist for POMS College of Operational Excellence Junior Scholar Best Paper Competition
  • Ayvaci, Mehmet. 2023. The business of healthcare: The role of physician integration in bundled payments, Manufacturing & Service Operations Management 2023, Co-Authors: J Vlachy, T Ayer, S Raghunathan
  • Ayvaci, Mehmet. 2023. Value of Algorithm-Enabled Process Innovation: The Case of Sepsis, Manufacturing & Service Operations Management, 2023, Co-Authors: I Adjerid, Ö Özer
  • Wang, Guihua. 2023. Personalized Health Care Outcome Analysis of Cardiovascular Surgical Procedures, Manufacturing & Service Operations Management, 2023, Co-Authors: J. Li, W. Hopp
  • Wang, Guihua. 2022. Pausing Transplants in the Face of a Global Pandemic: Patient Survival Implications, Production and Operations Management, 2022, Co-Authors: M. Zhang, J. Li, W. Hopp, D. Lee
  • Hopp, W., J. Li, S. Saghafian, G. Wang. 2021. Analytics Powered Employee Health Plans. Management and Business Review
  • Ahsen, M. E., Ayvaci, M. U. S., & Raghunathan, S. (2019). When algorithmic predictions use human-generated data: A bias-aware classification algorithm for breast cancer diagnosis. Information Systems Research, 30(1), 97-116. This manuscript was awarded the ‘Best Published Paper Award” from the Information Systems Research Journal of Information Systems Society at INFORMS