Saeede Eftekhari
Assistant Professor in Management Science (Information Systems)
A. B. Freeman School of Business, Tulane University
I study how information systems shape healthcare management, with a focus on health information exchanges and healthcare delivery. My research also explores digital communities and how AI-enabled analytics can reshape healthcare knowledge production. I joined Tulane University as an Assistant Professor in 2019 after earning my Ph.D. in Management Science and Systems from the State University of New York at Buffalo. Prior to that, I received both my B.S. and M.S. degrees in Industrial Engineering from Isfahan University of Technology, Iran.
Research
Healthcare Information Technology
- Healthcare Delivery, Utilization, Access, and Outcomes
- Health Information Exchanges (HIEs) and Physician Decision-Making
- Data-Driven Healthcare Analytics: Causal Inference, Econometric Modeling, and Social Network Analysis
- Qualitative Field Study (Interviews with Physicians and Patients)
- AI-Enabled Analysis of Mental Health Signals on Digital Platforms
Digital Platforms and User-Generated Content
- Online Social Movements and Collective Action
- Digital Communities and Network Dynamics
- Applications of Machine Learning and Natural Language Processing
- Generative AI Applications for Social Media and Business Research
Selected Journal Publications
- S. Eftekhari, N. Yaraghi, R. Gopal, R. Ramesh. “Impact of Health Information Exchange Adoption on Referral Patterns.” Management Science, 69(3), 1615–1638, 2023.
- S. Eftekhari, N. Yaraghi, R. Singh, R. D. Gopal, R. Ramesh. “Do Health Information Exchanges Deter Repetition of Medical Services?” ACM Transactions on Management Information Systems, 8(1), 1–27, 2017.
Selected Work in Progress
- U. Etudo, S. Eftekhari, S. Bhattacharjee. “Follow the Leader or Follow the Peers? Mobilization Lifecycle of Online Armies in the Social Media Age.”
- S. Eftekhari, R. Ramesh. “Patient Flux at Primary Care: Impact of Health Information Exchanges.”
- S. Eftekhari, J. Tacheva. “An IT Artifact for Monitoring Depressive Symptom Trajectories During a Prolonged Crisis.”
When I am not doing research or teaching, I enjoy nature, poetry, watercolor painting, and quiet mornings in cafés.
