Papers & interests

Research

My research sits at the intersection of data-driven analytics, AI/ML, and clinical operations for healthcare management, drawing on causal inference, empirical research, interpretable machine learning, and reinforcement learning to design, evaluate, and govern decision systems that improve access, quality, and cost in health systems.

Domains

Operations ManagementHealthcare ManagementHealth Analytics

Methods

Empirical ResearchCausal InferenceMachine Learning & Predictive ModelingSequential Decision-Making

Publications

• Multi-objective optimization of radiotherapy: distributed Q-learning and agent-based simulation

  Jalalimanesh, A., Haghighi, H.S., Ahmadi, A., Hejazian, H., Soltani, M.

  Journal of Experimental & Theoretical Artificial Intelligence·29 (5): 1071–1086·2017

Under review

• The Impact of Hospital Characteristics on Psychiatry Readmissions: A Mediation Framework

  Hejazian, H., Kucukyazici, B., Nasiry, J., Verter, V., Frank, D.

  Major revisionat Health Care Management Science

  Finalist, Graduate Student Presentation Competition — CORS Health Care Operational Research SIG

For the most current list, see my Google Scholar profile.