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Health Operations Research

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Systems engineering techniques are used to drive efficient management of healthcare resources and support medial decision-making. Tools such as discrete event simulation are applied to gain understanding of complex interactions within healthcare and to project “what if” scenarios toward improving patient flow. Machine-learning, data-mining, regression, and time-series methods are used to predict clinical outcomes and future operational states. Optimization methods are used to match healthcare demand with supply for “smart” scheduling of both patients (e.g., operating room, clinics) and clinicians (e.g., nurse staffing). When useful, these tools are translated to software applications to support real-time decision-making.

Simulation Conceptual Diagram Simulation Conceptual Diagram
Pediatric Intensive Care Unit Pediatric Intensive Care Unit Bed Forecast Tool