Ebru K. Bish
Dr. Bish’s research interests focus on stochastic modeling and optimization, with applications in medical decision-making, health policy, and healthcare operations; supply chain management, and logistics. She is the recipient of the INFORMS Pierskalla award for the best paper in healthcare; and the INFORMS JFIG best paper award. Dr. Bish has published in Operations Research, Management Science, IIE Transactions, IIE Transactions on Healthcare Systems Engineering, Naval Research Logistics, EJOR, Annals of OR, among others, as well as several health systems journals. Her research has been funded by the National Science Foundation, Agency for Healthcare Research and Quality (AHRQ), VT-Carilion Research Institute, and the Carilion Clinic RAP program, among others. She teaches courses on healthcare operations management, and supply chain management and logistics.
Main Area: Operations Research
Stochastic modeling and optimization, with applications in medical decision-making, health policy, and healthcare operations; supply chain management
- Ph.D., Industrial Engineering and Management Science, Northwestern University
(Ph.D. Advisor: David Simchi-Levi)
- M.S., Industrial Engineering, Bogazici University
- B.S., Industrial Engineering, Bogazici University
- Associate Professor, Industrial & Systems Engineering, Virginia Tech, 2006 - present
- Associate Professor, Faculty of Health Sciences, Virginia Tech, 2016 - present
- Assistant Professor, Industrial & Systems Engineering, Virginia Tech, 1999 - 2006
(Past three years; student authors marked by *)
- El-Amine, H., E.K. Bish, and D.R. Bish (2017) Robust post-donation blood screening under limited information on prevalence rates. Forthcoming in Operations Research
Finalist for the 2015 INFORMS Pierskalla Award for the Best Paper in Healthcare.
- El-Amine*, H., E. K. Bish, and D. R. Bish (2016). Optimal pooling strategies for nucleic acid testing of donated blood considering viral load growth curves and donor characteristics. Forthcoming in IIE Transactions on Healthcare Systems Engineering.
- Aprahamian*, H., D.R. Bish, and E.K. Bish, Modeling of residual risk and waste in donated blood with pooled nucleic acid testing and under the dilution effect. Forthcoming in Statistics in Medicine, 35 (28), 2016 (to appear in print in December 2016)
- Bish, E.K., E.D. Moritz, H. El-Amine, D.R. Bish, S.L. Stramer, (2015) Cost effectiveness of Babesia microti antibody and nucleic acid blood donation screening using results from prospective investigational studies, Transfusion, 55(9), 2256-2271.
- Bish, E.K., N.A. Fard*, L.A. Steighner, K.K. Hall, and A.D. Slonim, Proactive risk assessment of surgical site infections in ambulatory surgery centers. Forthcoming in Journal of Patient Safety.
- Slonim, A.D., E.K. Bish, and R.S. Xie, (2014) Probabilistic Risk Assessment and Cost/ Benefits of Risk Reduction Strategies, Annals of Operations Research, 221(1), 377-406.
- Bish, E.K., H. El-Amine*, L.A. Steighner, and A.D. Slonim (2014), A socio-technical, probabilistic risk assessment model for surgical site infections in ambulatory surgery centers. Infection Control and Hospital Epidemiology, 35(S3), S133-S141.
- Bish, E.K., P.K. Ragavan*, D.R. Bish, A.D. Slonim, and S.L. Stramer (2014), A probabilistic method for the estimation of residual risk in donated blood. Biostatistics, 15(4), 620-635.
- Bish, D.R., E.K. Bish, S.R. Xie*, and S. Stramer (2014), Going beyond “same-for-all” testing of infectious agents in donated blood. IIE Transactions, 46(11), 1147-1168.
Received 2016 Best Applications Paper Award in IIE Transactions: Operations Engineering and Analytics
- Maddah*, B., E.K. Bish, and H. Tarhini* (2014), Newsvendor pricing and assortment under Poisson decomposition. IIE Transactions, 46(6), 567-584.
- A.D. Slonim, E. K. Bish, L.A. Steighner (2014), Using socio-technical probabilistic risk assessment to assess risk and improve patient safety and reliability in healthcare systems. Advances in the Prevention and Control of HAIs, 241-252.
Slonim A.D., Bish, E.K., Steighner, L.A., Zeng*, X., Crossno, R., Proactive Risk Assessment of Surgical Site Infections in Ambulatory Surgery Centers. Final Report (Prepared by the American Institutes of Research under Contract No. 290-06-00019i-12). Rockville: AHRQ Publication; March 2012.
- Optimal blood screening strategies for infectious agents: Mathematical models and decision support tools, National Science Foundation (PI).
- Proactive Risk Assessment in Ambulatory Surgery Centers, AHRQ Task Order #25 (Co-PI, in collaboration with the American Institutes for Research)
- Developing Context Specific ST-PRA Models to Improve Patient Safety in Hospitalized Patients, The Carilion Clinic, RAP Program (Co-PI).
- Applying and Validating Sophisticated Industrial Techniques to Improve Healthcare Quality in the Emergency Department, VT-Carilion Research Institute (Co-PI).
- ISE 5994: Healthcare Operations Management
- ISE 6444: Inventory and Operations Management
- ISE 4424: Logistics and Supply Chain Management
- ISE 3414: Probabilistic Operations Research
- Institute of Operations Research and the Management Sciences (INFORMS)
- Health Applications Society (HAS), INFORMS Subdivision
- Public Sector Operations Research, INFORMS Section
Hadi El-Amine is the 2015 Bonder Scholar (September 2015)
"Creating Safer Blood Products" project was published on NSF's Science, Engineering & Education (SEE) Innovation site.
Research work on safe and effective post-donation blood screening practices was featured in the October 2014 issue of Institute of Industrial Engineer’s (IIE) Industrial Engineer magazine
Research [Industrial Engineer] (October 2014)
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