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Fast Track to Reduce Patient Lead Time: A Discrete Event Simulation Analysis
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Author(s): Thais Gabriel Pincigher Silva (Rio de Janeiro State University, Brazil), Carolina Mendes e Senna de Castro (Rio de Janeiro State University, Brazil), Daniel Bouzon Nagem Assad (Rio de Janeiro State University, Brazil), Ana Carolina Vasconcelos (Rio de Janeiro State University, Brazil)and Thais Spiegel (Rio de Janeiro State University, Brazil)
Copyright: 2020
Pages: 23
Source title:
Handbook of Research on Optimizing Healthcare Management Techniques
Source Author(s)/Editor(s): Nilmini Wickramasinghe (Swinburne University of Technology, Australia & Epworth HealthCare, Australia)
DOI: 10.4018/978-1-7998-1371-2.ch018
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Abstract
Patient lead time in emergency units is a critical factor for quality of care and patient safety. The objective of the chapter is a public emergency care hospital of a Brazilian city, important for its localization in the second more populated area of the city. Green risk patients constitute more than half of attendances and represent the largest volume of out-of-goal attendances in the hospital. Considering this analysis, it was conducted the process modelling in order to understand patient pathway and the main related problems. A list of undesirable effects was subsequently composed, allowing the construction of the current reality tree (CRT). With the root causes identified, the literature suggested fast track as an alternative to reduce the average waiting time in queue until the medical care. The method used for testing scenarios of fast track was discrete events simulation.
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