Ph.D., Industrial and Operations Systems, University of Michigan, 1994
M.S., Industrial and Operations Systems, University of Michigan, 1993
Nembhard’s scholarship in industrial engineering and operations research is focused on improving complex systems across manufacturing and healthcare. It has led to numerous advances including a patented manufacturing process for small-scale medical devices, simulation models for assessing emergency department patient flow, and tools for quantifying research translation.
Harriet B. Nembhard is the Eric R. Smith professor of engineering and head of the School of Mechanical, Industrial and Manufacturing Engineering (MIME). She leads this unit of 75 faculty and staff in fulfilling its mission to educate students as profession-ready graduates and engage in collaborative, cutting-edge research. Her own research employs methods of statistics and operations research to improve complex systems and has led to numerous advances including the development of visualization methods for communicating healthcare data, a patented manufacturing process for small-scale medical devices, simulation models for assessing emergency department performance, modeling patient adherence to treatment, and tools for quantifying research translation.
She is co-author of a ground-breaking textbook, Healthcare Systems Engineering; the author or co-author of more than 50 peer-reviewed journal publications; and the PI or co-PI on over $3.1 million in research funding. She has advised four post-doctoral, 13 Ph.D.s, and numerous other students and scholars. In addition, she has directed over 200 faculty and students on applied research projects in healthcare delivery that engaged AT&T, Highmark, Siemens, Verizon as well as several hospitals.
Her work has been recognized by the American Society for Quality (ASQ) with the Feigenbaum Medal in 2004, with election as an ASQ Fellow in 2009, election to the International Academy for Quality in 2011 and with senior membership in the Institute of Industrial and Systems Engineering (IISE). She is a part of the leadership of the American Society of Mechanical Engineering (ASME) Executive Committee and was recently named as a Drexel University ELATE Fellow. Dr. Nembhard has also been active in mentoring women and underrepresented minorities in the academic institution and has served frequently for many programs to positively impact STEM education, equity and inclusion, and global learning.
She has been at Oregon State since 2016.
(* indicates student/advisee author)
- “Reducing Cost Drivers in Total Joint Arthroplasty: Understanding Patient Readmission Risk and Supply Cost. ” *Swenson, E., Davis, C., Bastian, N. and Nembhard, H. B. Clinical Orthopaedics and Related Research, to appear.
- “Healthcare Market Segmentation and Data Mining: A Systematic Review.” *Swenson, E., *Bastian, N., Nembhard, H. B. Health Marketing Quarterly, to appear.
- “A System Dynamics Approach to Planning and Evaluating Interventions for Chronic Disease Management.” *Kang, H., Nembhard, H. B., Curry, W., Ghahramani, N. and Hwang, W. Journal of the Operations Research Society, to appear.
- “A goal programming approach to address the proposal selection problem: A case study of a Clinical and Translational Science Institute.” *Munoz, D., Nembhard, H.B., and Camargo, K. International Transactions in Operational Research, 25, 1, 405-423, 2018.
- “Evaluating the Cost-Effectiveness of an Early Detection of Parkinson’s Disease through Innovative Technology.” *Munoz, D., Kilinc, M., Nembhard, H. B., Tucker, C., and Huang, X. The Engineering Economist, 62, 2, 180-196, 2017.
- “Assessment of Emergency Department Efficiency Using Data Envelopment Analysis.” *Kang, H, Nembhard, H. B. and Pasupathy, K. S. IIE Transactions in Healthcare Systems Engineering, 7, 4, 236-246, 2017.
- “A Systems Thinking Approach to Prospective Planning of Interventions for Chronic Kidney Disease.” *Kang, H., Nembhard, H. B., Curry, W. J., Ghahramani, N., and Hwang, W. Health Systems, 6, 2, 130-147, 2017.
- “The Impact of a Pay-for-Performance Program on Central Line-Associated Blood Stream Infections in Pennsylvania.” *Bastian, N. D., *Kang, H., Nembhard, H. B., Bloschichak, A., and Griffin, P. Hospital Topics, 94, 1, 8-14, 2016.
- “Knowledge Discovery of Game Design Features by Mining User-Generated Feedback.” Bharathi, G., Singh, A., Tucker,C.S., Nembhard, H. B. Computers in Human Behavior, 60, 361-371, 2016.
- “Data Analytics in Health Promotion: Health Market Segmentation and Classification of Total Joint Replacement Surgery Patients.” *Bastian, N., *Swenson, E., and Nembhard, H. B. Expert Systems with Applications, 60, 118-129, 2016.
- A Data Mining Methodology for Predicting Early Stage Parkinson's Disease Using Non-Invasive, High Dimensional Gait Sensor Data.” Tucker, C. S., Han, Y., Nembhard, H. B., Lee, W.-C., Lewis, M., Sterling, N., Huang, X. Computers in Biology and Medicine, 66, 120-134, 2015.
- “Machine Learning Classification of Medical Adherence in Patients with Movement Disorders Using Non-Wearable Sensors.” Tucker, C. S., Behoora, I., Nembhard, H. B., Lewis, M., Sterling, N., Huang, X. Computers in Biology and Medicine, 66, 120-134, 2015.