Publication Date:
2014-06-10
Description:
Background: Hospital-based Emergency Departments are struggling to provide timely care to a steadily increasingnumber of unscheduled ED visits. Dwindling compensation and rising ED closures dictate thatmeeting this challenge demands greater operational efficiency. Methods: Using techniques from operations research theory, as well as a novel event-driven algorithm for processingpriority queues, we developed a flexible simulation platform for hospital-based EDs. Wetuned the parameters of the system to mimic U.S. nationally average and average academic hospitalbasedED performance metrics and are able to assess a variety of patient flow outcomes includingpatient door-to-event times, propensity to leave without being seen, ED occupancy level, and dynamicstaffing and resource use. Results: The causes of ED crowding are variable and require site-specific solutions. For example, in a nationally average ED environment, provider availability is a surprising, but persistent bottleneck in patient flow. As a result, resources expended in reducing boarding times may not have the expected impact on patient throughput. On the other hand, reallocating resources into alternate care pathways can dramatically expedite care for lower acuity patients without delaying care for higher acuity patients. In an average academic ED environment, bed availability is the primary bottleneck in patient flow. Consequently, adjustments to provider scheduling have a limited effect on the timeliness of care delivery, while shorter boarding times significantly reduce crowding. An online version of the simulation platform is available at http://spark.rstudio.com/klopiano/EDsimulation/. Conclusion: In building this robust simulation framework, we have created a novel decision-support tool that EDand hospital managers can use to quantify the impact of proposed changes to patient flow prior toImplementation
Electronic ISSN:
1472-6947
Topics:
Computer Science
,
Medicine
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