Patient Flow and Staff Scheduling in Perioperative Care

Patient Flow and Staff Scheduling in Perioperative Care • Perioperative care (prep, surgery, and recovery) in hospitals is a system plagued with uncertainty, complexity, and opportunity. Surgeries often take longer or shorter than expected, staff can be overwhelmed or underwhelmed during the day, and there are specific medical requirements for matching staff to patients through the process. The goal of this project is to predict patient flow and optimize staff scheduling in perioperative care at Johns Hopkins Hospital • What Students Will Do: • • 1 – Use historical data to build a simulation model for modeling uncertainty in patient flow – Match staff to patients given medical protocols and guidance, – Optimizing staff scheduling to minimize costs given constraints – Use unsupervised (or supervised learning) to come up with staffing ratios and rules that are implementable Deliverables: Software that will input sample patient data from perioperative care and output staff schedules. Size group: No more than 3 Skills: Simulation, Optimization Mentor: Sauleh Siddiqui, Department of Civil Engineering, siddiqui@jhu. edu. 600. 456/656 CIS 2 Spring 2018 Copyright © R. H. Taylor Engineering Research Center for Computer Integrated Surgical Systems and Technology

Simulation Structure 2 600. 456/656 CIS 2 Spring 2018 Copyright © R. H. Taylor Engineering Research Center for Computer Integrated Surgical Systems and Technology

Input Dataset Histogram 3 600. 456/656 CIS 2 Spring 2018 Copyright © R. H. Taylor Engineering Research Center for Computer Integrated Surgical Systems and Technology

Variation in Input Dataset in PACU 4 600. 456/656 CIS 2 Spring 2018 Copyright © R. H. Taylor Engineering Research Center for Computer Integrated Surgical Systems and Technology