Javad Taheri Slocum, R. F., Jones, H. L., Fletcher, M. T., McConnell, B. M., Hodgson, T. J., Taheri, J., & Wilson, J. R. (2020). Improving chemotherapy infusion operations through the simulation of scheduling heuristics: a case study. Health Systems, 2, 1–16. https://doi.org/10.1080/20476965.2019.1709908 Finn, R. T., Lloyd, B., Patel, Y. A., Allen, J. T., Cornejo, J., Davis, A., … Gellad, Z. F. (2019, June). Decreasing Endoscopy No-Shows Using a Lean Improvement Framework. CLINICAL GASTROENTEROLOGY AND HEPATOLOGY, Vol. 17, pp. 1224-+. https://doi.org/10.1016/j.cgh.2019.02.002 Gellad, Z., Chermak, D., Brown, E., & Taheri, J. (2015). Sa1491 Automating Endoscopy Unit Efficiency Metrics: Leveraging the Electronic Health Record for Process Improvement. Gastrointestinal Endoscopy, 81(5), AB236. https://doi.org/10.1016/J.GIE.2015.03.1328 Gellad, Z. F., & Taheri, J. (2014). Reply. Clinical Gastroenterology and Hepatology, 12(3), 527. https://doi.org/10.1016/J.CGH.2013.12.003 Yaylali, E., Ivy, J. S., & Taheri, J. (2014). Systems Engineering Methods for Enhancing the Value Stream in Public Health Preparedness: The Role of Markov Models, Simulation, and Optimization. PUBLIC HEALTH REPORTS, 129, 145–153. https://doi.org/10.1177/00333549141296s419 Gellad, Z. F., Thompson, C. P., & Taheri, J. (2013). Endoscopy Unit Efficiency: Quality Redefined. Clinical Gastroenterology and Hepatology, 11(9), 1046–1049.e1. https://doi.org/10.1016/J.CGH.2013.06.005 Taheri, J., Gellad, Z., Burchfield, D., & Cooper, K. (2012). A simulation study to reduce nurse overtime and improve patient flow time at a hospital endoscopy unit. 2012 winter simulation conference (wsc). https://doi.org/10.1109/wsc.2012.6465136 Gellad, Z. F., Taheri, J., Burchfield, D., Cooper, K., Lothrop, S., & AL-Kawas, F. H. (2012). Su1270 Discrete Event Simulation Modeling: A Valuable Tool to Optimize Endoscopy Unit Efficiency. Gastrointestinal Endoscopy, 75(4), AB273–AB274. https://doi.org/10.1016/j.gie.2012.03.695 Morgan, S. D., Fathi, Y., & Taheri, J. (2004). Algorithms for the model configuration problem. IIE TRANSACTIONS, 36(2), 169–180. https://doi.org/10.1080/07408170490245469