Eric PARK
Dr. Eric PARK
Innovation and Information Management
Assistant Professor

3917 5845

KK 810

Academic & Professional Qualification
  • PhD: Kellogg School of Management, Northwestern University
  • MSe: Department of Mechanical Engineering, University of Michigan
  • BS: Department of Mechanical and Aerospace Engineering, Seoul National University
Biography

Eric Park is an Assistant Professor of Business Analytics in the Innovation and Information Management group at The University of Hong Kong, HKU Business School. He received his Ph.D. in Operations Management from the Kellogg School of Management at Northwestern University.
His research focuses on improving health policies and the delivery of health care from an operations management perspective. He uses empirical methods and ties them to operations management principles and economics theories to provide an operational lens to policy makers in health policy designs. Pursuing inter-disciplinary research in the field of operations management and medicine, his work has been published in leading peer-reviewed journals in both fields. His work has also been recognized in INFORMS and POMS best paper competitions.

Research interest

Operations in health policies, empirical operations management, policy evaluation, emergency department, service systems, data analytics, retail operations

Teaching interest

Operations management, econometrics, quantitative methods, health care operations, service operations, data analytics

Selected Publications

Fergusson N.A., Ahkioon S., Nagarajan M., Park E., Ding D.Y., Ayas N., Dhingra V.K., Chittock D.R., Griesdale D.E., “Association of intensive care unit occupancy during admission and inpatient mortality: a retrospective cohort study”. Canadian Journal of Anesthesia/Journal canadien d’anesthésie. 2020.

Wang Y., Ding D.Y., Park E., Hunte G., “Do financial incentives change length-of-stay performance in emergency departments? A retrospective study of the Pay-for-Performance program in Metro Vancouver“. Academic Emergency Medicine. 2019.

Ding D.Y., Park E., Nagarajan M., Grafstein E., “Patient Prioritization in Emergency Department Triage Systems: An Empirical Study of Canadian Triage and Acuity Scale (CTAS)”. Manufacturing & Service Operations Management. 2018.

Zhang D., Gurvich I., Van Mieghem J.A., Park E., Young R.S., Williams M.V., “Hospital Readmissions Reduction Program: An Economic and Operational Analysis”. Management Science. 2016.

Honors and Awards
  • 3rd place, INFORMS Behavioral OM Best Working Paper Competition, 2017
  • 1st place, POMS College of Healthcare Operations Management Best Paper Competition, 2014
Recent Publications
HKU Business School at the heart of medical revolution

Innovation in healthcare is forever changing how we see and experience the medical industry. The environment is offering HKU’s Faculty of Business and Economics (the Faculty) a unique opportunity to be at the forefront of utilising rich data, creating better health outcomes for everyone.

Patient Prioritization in Emergency Department Triage Systems: An Empirical Study of the Canadian Triage and Acuity Scale (CTAS)

Emergency departments (EDs) typically use a triage system to classify patients into priority levels. However, most triage systems do not specify how exactly to route patients across and within the assigned triage levels. Therefore, decision makers in EDs often have to use their own discretion to route patients. Also, how patient waiting is perceived and accounted for in ED operations is not clearly understood. In this paper, using patient-level ED visit data, we structurally estimate the waiting cost structure of ED patients as perceived by the decision makers who make ED patient routing decisions. We derive policy implications and make suggestions for improving triage systems. We analyze the patient routing behaviors of ED decision makers in four EDs in the metro Vancouver, British Columbia, area. They all use the Canadian Triage and Acuity Scale, which has a wait time–related target service level objective. We propose a general discrete choice framework, consistent with queueing literature, as a tool to analyze prioritization behaviors in multiclass queues under mild assumptions. We find that the decision makers in all four EDs (1) apply a delay-dependent prioritization across different triage levels; (2) have a perceived marginal ED patient waiting cost that is best fit by a piece-wise linear concave function in wait time; (3) generally follow, in the same triage level, the first-come first-served principle, but their adherence to the principle decreases for patients who wait past a certain threshold; and (4) do not use patient complexity as a major criterion in prioritization decisions.

Discharge incentives in emergency rooms could lead to higher patient readmission rates

The research study co-authored by Eric Park, Assistant Professor of Innovation and Information Management, HKU, Yichuan (Daniel) Ding, Assistant Professor, UBC Sauder School of Business, Yuren Wang, National University of Defense Technology and Garth Hunte, St. Paul’s Hospital is covered by a number of international media.