Area: Supply Chain Management and Analytics
- Snead Hall
- 301 W. Main Street
- Box 844000
- Richmond, VA, 23284-4000
- Office: B4133
- Alternate Website: https://sites.google.com/vcu.edu/shannonlharris
- PhD, University of Pittsburgh, 2016.
- BS, George Mason University, 2007.
- Healthcare Scheduling
- Predictive Analytics
- Social Justice Health Ops
- Data Analysis
Healthcare Transformation and Analytics
Shannon Harris earned a PhD in Business Analytics and Operations from the University of Pittsburgh in 2016. Her research interests include mathematical and empirical modeling with a focus on healthcare applications. Primarily, she analyzes the attendance behavior of patients to outpatient clinic appointments, and how that behavior affects a clinic’s scheduling practices. Additionally, she has projects researching racial bias in healthcare scheduling, how people-centric operations affect patients’ transition of care from the hospital to home, and factors that influence the successful treatment of patients’ addiction. Her work has been published in the European Journal of Operational Research, Military Medicine, and the Journal of Multi-Criteria Decision Analysis.
Shannon worked as a management consultant at Deloitte Consulting and as a cost analyst at Technomics, Inc. She has served as a track chair for several INFORMS and CORS conference sessions, and has served on the board of the INFORMS Minority Issues Forum (MIF), INFORMS Diversity Committee, and the PhD Project student planning committee.
Published Intellectual Contributions
- Samorani, M., Harris, S. (2019). Overbooked and Overlooked: Machine Learning and Racial Bias in Medical Appointment Scheduling. Proceedings of the 2019 INFORMS Workshop on Data Mining and Decision Analytics (DMA 2019).
- Samorani, M., Harris, S. (2019). The Impact of Probabilistic Classifiers on Appointment Scheduling with No-Shows. Fortieth International Conference on Information Systems, Munich.
- Castaneda, E., Gonzalez, J., Harris, S., Kim, J. (2007). Optimized airport security infrastructure system (OASIS). (pp.1--6). Systems and Information Engineering Design Symposium, 2007. SIEDS 2007. IEEE.
- Harris, S., Samorani, M. (in press). On Selecting a Probabilistic Classifier for Appointment No-show Prediction. Decision Support Systems.
- Simons, A., McHugh, K., Appling, S., Harris, S., Burgoon, J. (2020). Instructional Approaches: Anatomy Education of Physical Therapists. Anatomical Sciences Education.
- Harris, S., May, J. H., Vargas, L. G., Foster, K. M. (2020). The effect of cancelled appointments on outpatient clinic operations. (3 ed., vol. 284, pp.847-860). European Journal of Operational Research.
- Goffman, R. M., Harris, S., May, J. H., Milicevic, A. S., Monte, R. J., Myaskovsky, L., Rodriguez, K. L., Tjader, Y. C., Vargas, D. L. (2017). Modeling patient no-show history and predicting future outpatient appointment behavior in the Veterans Health Administration. (5-6 ed., vol. 182, pp.e1708--e1714). Military medicine.
- Harris, S., May, J. H., Vargas., L. G. (2016). Predictive analytics model for healthcare planning and scheduling. (1 ed., vol. 253, pp.121--131). European Journal of Operational Research.
- Lin, C. S., Harris, S. (2013). A unified framework for the prioritization of organ transplant patients: analytic hierarchy process, sensitivity and multifactor robustness study. (3-4 ed., vol. 20, pp.157--172). Journal of Multi-Criteria Decision Analysis.