Publications
Working Paper
Song, L., and Saghafian. n.d. “The Spillover Effects of Hospital Closures on the Efficiency and Quality of Other Hospitals.”
Song, L., and Saghafian. n.d. “The Spillover Effects of Hospital Closures on the Efficiency and Quality of Other Hospitals.”
Jameson, J., S. Saghafian, R. Huckman, N. Hodgson, and J. Baugh. n.d. “The Impact of Batching Advanced Imaging Tests in Emergency Departments.”
Jameson, J., S. Saghafian, R. Huckman, N. Hodgson, and J. Baugh. n.d. “The Impact of Batching Advanced Imaging Tests in Emergency Departments.”
Dean, A., A. Orfanoudaki, S. Saghafian, K. Song, H.A. Chakkera, and C.B. Cook. n.d. “Algorithm, Human, or the Centaur: How to Enhance Clinical Care?.”
Dean, A., A. Orfanoudaki, S. Saghafian, K. Song, H.A. Chakkera, and C.B. Cook. n.d. “Algorithm, Human, or the Centaur: How to Enhance Clinical Care?.”
Shakeri, M., M. Bijvank, and S. Saghafian. n.d. “Who to See Next? Guiding Physicians With Time-Dependent Patient Selection Policies Under Shift Work.”
Shakeri, M., M. Bijvank, and S. Saghafian. n.d. “Who to See Next? Guiding Physicians With Time-Dependent Patient Selection Policies Under Shift Work.”
Saghafian, S., R. Imanirad, and S.J. Traub (M.D.). n.d. “Do Independent and Parallel Processing Physicians Influence Each Other’s Performance? Evidence from the Emergency Department.”
Saghafian, S., R. Imanirad, and S.J. Traub (M.D.). n.d. “Do Independent and Parallel Processing Physicians Influence Each Other’s Performance? Evidence from the Emergency Department.”
Zhang, M., S. Aghaei, and S. Saghafian. n.d. “Large Language Models for Sequential Decision-Making: Improving In-Context Learning Via Supervised Fine-Tuning.”
Zhang, M., S. Aghaei, and S. Saghafian. n.d. “Large Language Models for Sequential Decision-Making: Improving In-Context Learning Via Supervised Fine-Tuning.”
Rasouli, M., and S. Saghafian. n.d. “Robust Partially Observable Markov Decision Processes.”
Rasouli, M., and S. Saghafian. n.d. “Robust Partially Observable Markov Decision Processes.”
Imanirad, R., S. Saghafian, S.J. Traub (M.D.), and N.R. Hodgson. n.d. “What Drives Physician Efficiency? Evidence from Emergency Department Operations.”
Imanirad, R., S. Saghafian, S.J. Traub (M.D.), and N.R. Hodgson. n.d. “What Drives Physician Efficiency? Evidence from Emergency Department Operations.”
Boloori, A., Saghafian, and S.J. Traub. n.d. “Understanding the Opioid Epidemic: Human-Based Versus Algorithmic-Based Perceptions, Treatments, and Guidelines.”
Boloori, A., Saghafian, and S.J. Traub. n.d. “Understanding the Opioid Epidemic: Human-Based Versus Algorithmic-Based Perceptions, Treatments, and Guidelines.”
Zhalechian, M., S. Saghafian, and O. Robles. n.d. “Harmonizing Safety and Speed: A Human-Algorithm Approach to Enhance the FDA’s Medical Device Clearance Policy.”
Zhalechian, M., S. Saghafian, and O. Robles. n.d. “Harmonizing Safety and Speed: A Human-Algorithm Approach to Enhance the FDA’s Medical Device Clearance Policy.”
Submitted
Delasay, M., and Saghafian S. 2026. “AI for Operational Efficiency in Virtual Care: An Operations-Focused Framework”. In . Springer.
Delasay, M., and Saghafian S. 2026. “AI for Operational Efficiency in Virtual Care: An Operations-Focused Framework”. In . Springer.
Forthcoming
Feizi, A., A. Orfanoudaki, S. Saghafian, Wayne Martini, and A. Hodgson. 2026. “Vertical Patient Streaming in Emergency Departments”. Management Science.
Feizi, A., A. Orfanoudaki, S. Saghafian, Wayne Martini, and A. Hodgson. 2026. “Vertical Patient Streaming in Emergency Departments”. Management Science.
“Harmonizing Safety and Speed: A Human-Algorithm Approach to Enchance FDA’s Medical Device Clearance Policy ”. 2025. Management Science .
“Harmonizing Safety and Speed: A Human-Algorithm Approach to Enchance FDA’s Medical Device Clearance Policy ”. 2025. Management Science .
2025
Lin, S., S. Saghafian, J.M. Lipschitz, and K.E. Burdick. 2025. “A Multi-Agent Reinforcement Learning Algorithm for Personalized Recommendations in Bipolar Disorder”. Proceedings of the National Academy of Sciences (PNAS, Nexus) 4 (8).
Lin, S., S. Saghafian, J.M. Lipschitz, and K.E. Burdick. 2025. “A Multi-Agent Reinforcement Learning Algorithm for Personalized Recommendations in Bipolar Disorder”. Proceedings of the National Academy of Sciences (PNAS, Nexus) 4 (8).
Lipschitz, J.M., S. Lin, S. Saghafian, C.K. Pike, and K.E. Burdick. 2025. “Digital Phenotyping in Bipolar Disorder: Using Longitudinal Fitbit Data and Personalized Machine Learning to Predict Mood Symptomatology”. Acta Psychiatrica Scandinavica 151 (3): 434-47.
Lipschitz, J.M., S. Lin, S. Saghafian, C.K. Pike, and K.E. Burdick. 2025. “Digital Phenotyping in Bipolar Disorder: Using Longitudinal Fitbit Data and Personalized Machine Learning to Predict Mood Symptomatology”. Acta Psychiatrica Scandinavica 151 (3): 434-47.
Paternina-Caicedo, A., O. Espinosa, S. Sheth, N. Hupert, and S. Saghafian. 2025. “Excess Mortality Rate in Black Children Since 1950 in the United States: A 70-Year Population-Based Study of Racial Inequalities”. Annals of Internal Medicine 178 (4): 490-97.
Paternina-Caicedo, A., O. Espinosa, S. Sheth, N. Hupert, and S. Saghafian. 2025. “Excess Mortality Rate in Black Children Since 1950 in the United States: A 70-Year Population-Based Study of Racial Inequalities”. Annals of Internal Medicine 178 (4): 490-97.
Coots, M., S. Saghafian, D. Kent, and S. Goel. 2025. “A Framework for Considering the Value of Race and Ethnicity in Estimating Disease Risk”. Annals of Internal Medicine 178 (1): 98-107.
Coots, M., S. Saghafian, D. Kent, and S. Goel. 2025. “A Framework for Considering the Value of Race and Ethnicity in Estimating Disease Risk”. Annals of Internal Medicine 178 (1): 98-107.
Jameson, J., S. Saghafian, R.S. Huckman, and N.R. Hodgson. 2025. “Variation in Batch Ordering of Imaging Tests in the Emergency Department and the Impact on Care Delivery”. Health Services Research 60 (1): e14406.
Jameson, J., S. Saghafian, R.S. Huckman, and N.R. Hodgson. 2025. “Variation in Batch Ordering of Imaging Tests in the Emergency Department and the Impact on Care Delivery”. Health Services Research 60 (1): e14406.
Hodgson, N., S. Saghafian, W. Martini, A. Feizi, and A. Orfanoudaki. 2025. “Artificial Intelligence-Assisted Emergency Department Vertical Patient Flow Optimization”. Journal of Personalized Medicine 15 (6): 219.
Hodgson, N., S. Saghafian, W. Martini, A. Feizi, and A. Orfanoudaki. 2025. “Artificial Intelligence-Assisted Emergency Department Vertical Patient Flow Optimization”. Journal of Personalized Medicine 15 (6): 219.
Saghafian, S. 2025. Insight-Driven Problem Solving: Analytics Science to Improve the World. New York: Cambridge University Press.
Saghafian, S. 2025. Insight-Driven Problem Solving: Analytics Science to Improve the World. New York: Cambridge University Press.
2024
Saghafian, S., and L. Idan. 2024. “Effective Generative AI: The Human-Algorithm Centaur”. Harvard Data Science Review Special Issue 5.
Saghafian, S., and L. Idan. 2024. “Effective Generative AI: The Human-Algorithm Centaur”. Harvard Data Science Review Special Issue 5.
Saghafian, S. 2024. “Drivers, Adaptations, and Public Impacts of Hospital Closures: Implications for Policy”. Frontiers in Public Health 12: 1415033.
Saghafian, S. 2024. “Drivers, Adaptations, and Public Impacts of Hospital Closures: Implications for Policy”. Frontiers in Public Health 12: 1415033.
Saghafian, S. 2024. “Ambiguous Dynamic Treatment Regimes: A Reinforcement Learning Approach”. Management Science 70 (9): 5667-90.
Saghafian, S. 2024. “Ambiguous Dynamic Treatment Regimes: A Reinforcement Learning Approach”. Management Science 70 (9): 5667-90.
Saghafian, S., D. Kilinic, and S.J. Traub. 2024. “Dynamic Assignment of Patients to Primary and Secondary Inpatient Units: Is Patience a Virtue?”. In The Cambridge Handbook of Healthcare: Productivity, Efficiency, Effectiveness, 2024:612-56. Cambridge University Press.
Saghafian, S., D. Kilinic, and S.J. Traub. 2024. “Dynamic Assignment of Patients to Primary and Secondary Inpatient Units: Is Patience a Virtue?”. In The Cambridge Handbook of Healthcare: Productivity, Efficiency, Effectiveness, 2024:612-56. Cambridge University Press.
Orfanoudaki, A., C.B. Cook, S. Saghafian, J. Castro, H.E. Kosiorek, and H.A. Chakkera. 2024. “Diabetes Mellitus and Blood Glucose Variability Increase the 30-Day Readmission Rate After Kidney Transplantation”. Clinical Transplantation 38 (1): e15177.
Orfanoudaki, A., C.B. Cook, S. Saghafian, J. Castro, H.E. Kosiorek, and H.A. Chakkera. 2024. “Diabetes Mellitus and Blood Glucose Variability Increase the 30-Day Readmission Rate After Kidney Transplantation”. Clinical Transplantation 38 (1): e15177.
Tarantino, G., C. A. Ricker, A. Wang, L. J. Mickley . , S. Saghafian, . , and Liu D. 2024. “Genomic Heterogeneity and Ploidy Identify Patients With Intrinsic Resistance to PD-1 Blockade in Metastatic Melanoma”. Science Advances 10 (48): eadp4670.
Tarantino, G., C. A. Ricker, A. Wang, L. J. Mickley . , S. Saghafian, . , and Liu D. 2024. “Genomic Heterogeneity and Ploidy Identify Patients With Intrinsic Resistance to PD-1 Blockade in Metastatic Melanoma”. Science Advances 10 (48): eadp4670.
2023
Boloori, A., and S. Saghafian. 2023. “Health and Economic Impacts of Lockdown Policies in the Early Stage of COVID-19 in the U.S.”. Service Science 15 (3): 188-211.
Boloori, A., and S. Saghafian. 2023. “Health and Economic Impacts of Lockdown Policies in the Early Stage of COVID-19 in the U.S.”. Service Science 15 (3): 188-211.
Hodgson, N.R., S. Saghafian, M.C. Klanderman, and S.J. Traub. 2023. “Physician-Driven Early Evaluation: Encounters Seen in a Vertical Model”. JEM Reports 2 (2): 100028.
Hodgson, N.R., S. Saghafian, M.C. Klanderman, and S.J. Traub. 2023. “Physician-Driven Early Evaluation: Encounters Seen in a Vertical Model”. JEM Reports 2 (2): 100028.
Saghafian, S., N. Trichakis, R. Zhu, and H. Shih. 2023. “Joint Patient Selection and Scheduling under No-Shows: Theory and Application in Proton Therapy”. Production and Operations Management 32 (2): 547-63.
Saghafian, S., N. Trichakis, R. Zhu, and H. Shih. 2023. “Joint Patient Selection and Scheduling under No-Shows: Theory and Application in Proton Therapy”. Production and Operations Management 32 (2): 547-63.