Julie Ivy

Professor

Fitts Faculty Fellow

Julie Ivy is a Professor at North Carolina State University in the Edward P. Fitts Department of Industrial and Systems Engineering and a Fitts Faculty Fellow in Health Systems Engineering. She previously spent several years on the faculty of the Stephen M. Ross School of Business at the University of Michigan. Dr. Ivy is actively involved in INFORMS, she is the current president of the Minority Issues Forum and is a past president of the Health Applications Section of INFORMS. She has co-authored more than forty journal articles, working papers, and conference proceedings.

Education

Ph.D. 1998

Doctorate

University of Michigan

MS 1992

Master of Science

Georgia Institute of Technology

BS 1991

Bachelor of Science

University of Michigan

Research Description

Dr. Ivy's primary research interests are in the mathematical modeling of stochastic dynamic systems with emphasis on statistics and decision analysis as applied to health care, manufacturing, and service environments. The focus of her research is decision making under conditions of uncertainty with the objective of improving the decision quality. Dr. Ivy's research program seeks to develop novel concepts of maintenance and monitoring policies and associated scientific theories, and apply them specifically to two important application domains: industrial and medical decision making. She has extensive background in stochastic modeling, in particular the application of partially observable Markov decision processes (POMDPs) and Markov decision processes (MDPs). Dr. Ivy's medical decision making research relates to studying the cost-effectiveness of mammography screening, dynamic breast cancer screening policy development, false positive prediction as a function of breast cancer screening policy, the impact of comorbidity on breast cancer patient outcomes modeling birth delivery choice as a function of long term consequences such as pelvic floor dysfunction, patient-centered pharmaceutical inventory management, and public health preparedness. In addition to her research in medical decision making, Dr. Ivy also works in the area of humanitarian logistics particularly as it relates to hunger relief and equitable food distribution. Her research has been funded by the NSF and the Centers for Disease Control.

Honors and Awards

  • C. A. Anderson Outstanding Faculty Award, ISE Department at NC State University, 2012
  • Moving Spirit Award, INFORMS, 2016

Publications

Diabetes and the hospitalized patient: A cluster analytic framework for characterizing the role of sex, race and comorbidity from 2006 to 2011
Nataraj, N., Ivy, J. S., Payton, F. C., & Norman, J. (2018), HEALTH CARE MANAGEMENT SCIENCE, 21(4), 534–553. https://doi.org/10.1007/s10729-017-9408-4
Exploring the Value of Waiting During Labor
Hicklin, K., Ivy, J. S., Payton, F. C., Viswanathan, M., & Myers, E. (2018), SERVICE SCIENCE, 10(3), 334–353. https://doi.org/10.1287/serv.2018.0205
Not all organ dysfunctions are created equal - Prevalence and mortality in sepsis
Capan, M., Hoover, S., Ivy, J. S., Miller, K. E., & Arnold, R. (2018), JOURNAL OF CRITICAL CARE, 48, 257–262. https://doi.org/10.1016/j.jcrc.2018.08.021
Robust optimization approaches for the equitable and effective distribution of donated food
Orgut, I. S., Ivy, J. S., Uzsoy, R., & Hale, C. (2018), EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 269(2), 516–531. https://doi.org/10.1016/j.ejor.2018.02.017
LSTM for septic shock: Adding unreliable labels to reliable predictions
Zhang, Y., Lin, C., Chi, M., Ivy, J., Capan, M., & Huddleston, J. M. (2017), (pp. 1233–1242).
Modeling for the equitable and effective distribution of food donations under stochastic receiving capacities
Orgut, I. S., Ivy, J., & Uzsoy, R. (2017), IISE Transactions, 49(6), 567–578.
A stochastic model of acute-care decisions based on patient and provider heterogeneity
Capan, M., Ivy, J. S., Wilson, J. R., & Huddleston, J. M. (2017), Health Care Management Science, 20(2), 187–206.
Achieving equity, effectiveness, and efficiency in food bank operations: Strategies for feeding America with implications for global hunger relief
Orgut, I. S., Brock, L. G., Davis, L. B., Ivy, J. S., Jiang, S., Morgan, S. D., … Middleton, E. (2016), International Series in Operations Research & Management Science, 235, 229–256.
Assessing the reliability of the radiation therapy care delivery process using discrete event simulation
Pooya, P., Ivy, J., Mosaly, P., Tracton, G., Singh, N., Tracton, G., & Singh, N. (2016), In 2016 10th european conference on antennas and propagation (eucap) (pp. 1233–1244).
Modeling for the equitable and effective distribution of donated food under capacity constraints
Orgut, I. S., Ivy, J., Uzsoy, R., & Wilson, J. R. (2016), IIE Transactions, 48(3), 252–266.
Modeling the effect of public health resources and alerting on the dynamics of pertussis spread
Yaylali, E., Ivy, J. S., Uzsoy, R., Samoff, E., Meyer, A. M., & Maillard, J. M. (2016), Health Systems, 5(2), 81–97.
Simulation of labor: a study of the relationship between cesarean section rates and the time spent in labor
Hicklin, K., Ivy, J. S., Myers, E. R., Kulkarni, V., & Viswanathan, M. (2016), In 2016 10th european conference on antennas and propagation (eucap) (pp. 1269–1280).
A Framework for modeling the complex interaction between breast cancer and diabetes
Goodarzi, S. H., McKenzie, K., Nataraj, N., Ivy, J. S., Mayorga, M., Mason, J., & Tejada, J. (2016), In 2016 10th european conference on antennas and propagation (eucap) (pp. 1245–1256).
Combined DES/SD model of breast cancer screening for older women, I: Natural-history simulation
Tejada, J. J., Ivy, J. S., Wilson, J. R., Ballan, M. J., Diehl, K. M., & Yankaskas, B. C. (2015), IIE Transactions, 47(6), 600–619.
Individualizing and optimizing the use of early warning scores in acute medical care for deteriorating hospitalized patients
Capan, M., Ivy, J. S., Rohleder, T., Hickman, J., & Huddleston, J. M. (2015), Resuscitation, 93, 107–112.
Understanding the evolution of mathematics performance in primary education and the implications for STEM learning: A Markovian approach
Reamer, A. C., Ivy, J. S., Vila-Parrish, A. R., & Young, R. E. (2015), Computers in Human Behavior, 47, 4–17.
Combined DES/SD model of breast cancer screening for older women, II: screening-and-treatment simulation
Tejada, J. J., Ivy, J. S., King, R. E., Wilson, J. R., Ballan, M. J., Kay, M. G., … Yankaskas, B. C. (2014), IIE Transactions, 46(7), 707–727.
Competing risks analysis in mortality estimation for breast cancer patients from independent risk groups
Zhang, S. F., Ivy, J. S., Wilson, J. R., Diehl, K., & Yankaskas, B. C. (2014), Health Care Management Science, 17(3), 259–269.
Optimal two-phase vaccine allocation to geographically different regions under uncertainty
Yarmand, H., Ivy, J. S., Denton, B., & Lloyd, A. L. (2014), European Journal of Operational Research, 233(1), 208–219.
Systems engineering methods for enhancing the value stream in public health preparedness: The role of Markov models, simulation, and optimization
Yaylali, E., Ivy, J. S., & Taheri, J. (2014), Public Health Reports, 129, 145–153.
Analytic solution of the susceptible-infective epidemic model with state-dependent contact rates and different intervention policies
Yarmand, H., & Ivy, J. S. (2013), Simulation, 89(6), 703–721.
Identifying optimal mitigation strategies for responding to a mild influenza epidemic
Yarmand, H., Ivy, J. S., & Roberts, S. D. (2013), Simulation, 89(11), 1400–1415.
Optimal intervention strategies for an epidemic: A household view
Yarmand, H., & Ivy, J. S. (2013), Simulation, 89(12), 1505–1522.
The association of breast density with breast cancer mortality in African American and white women screened in community practice
Zhang, S. F., Ivy, J. S., Diehl, K. M., & Yankaskas, B. C. (2013), Breast Cancer Research and Treatment, 137(1), 273–283.
A conceptual framework for future research on mode of delivery
Wu, J. M., Viswanathan, M., & Ivy, J. S. (2012), Maternal and Child Health Journal, 16(7), 1447–1454.
Cost-effectiveness analysis of vaccination and self-isolation in case of H1N1
Yarmand, H., Ivy, J. S., Roberts, S. D., Bengtson, M. W., & Bengtson, N. M. (2010), In Proceedings of the 2010 winter simulation conference (pp. 2199–2210).
Modeling the impact of comorbidity on breast cancer patient outcomes
Zhang, S. F., Ivy, J. S., Payton, F. C., & Diehl, K. M. (2010), Health Care Management Science, 13(2), 137–154.
Pelvic floor consequences of Cesarean delivery on maternal request in women with a single birth: A cost-effectiveness analysis
Xu, X., Ivy, J. S., Patel, D. A., Patel, S. N., Smith, D. G., Ransom, S. B., … DeLancey, J. O. L. (2010), Journal of Women’s Health, 19(1), 147–160.
Assessing dynamic breast cancer screening policies
Maillart, L. M., Ivy, J. S., Ransom, S., & Diehl, K. (2008), Operations Research, 56(6), 1411–1427. https://doi.org/10.1287/opre.1080.0614
A simulation-based approach for inventory modeling of perishable pharmaceuticals
Vila-Parrish, A. R., Ivy, J. S., & King, R. E. (2008), (pp. 1532–1538).

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