Research
My research sits at the intersection operations management and AI/ML for health-care delivery and the business of health, drawing on empirical research, causal inference, interpretable machine learning, and reinforcement learning to design, evaluate, and govern decision systems that improve access, quality, and cost.
Research Interests
- Operations Management · Healthcare Management · Health Analytics
- Empirical Research · Causal Inference · Machine Learning/Predictive Modeling · Sequential 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.
Under Review
The Impact of Hospital Characteristics on Psychiatry Readmissions: A Mediation Framework
Hejazian, H., Kucukyazici, B., Nasiry, J., Verter, V., Frank, D.
- Under review.
- Finalist, Graduate Student Presentation Competition (CORS Health Care Operational Research SIG)
Working Papers
Interpretable Design of Multi-Agent Mobile Health Applications (Job Market Paper)
Zhalechian, M., Hejazian, H., Saghafian, S., Fukuoka, Y.
In preparation for submission to Management Science
The Weakest Goes to the Wall: The Impact of the COVID-19 Pandemic on Psychiatric Acute Care
Hejazian, H., Nasiry, J., Verter, V., Frank, D.
In preparation for submission to Management Science
A Study on Effectiveness and Efficiency of ED Physicians
Hejazian, H., Saghafian, S., Baugh, J., Samadian, K., Meeker, M.
Target journal: an emergency medicine journal
Work in Progress
Together We Heal: The Power of Team Composition in Transforming Emergency Care
Hejazian, H., Saghafian, S., Baugh, J., Samadian, K., Meeker, M.From Overlooked to Essential: Mining Clinical Psychiatry Notes with Language Models
Hejazian, H., Nasiry, J., Verter, V., Frank, D.