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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/24849

Title: Quality assessment of input data for emergency department simulation
Authors: Vanbrabant, Lien
Martin, Niels
Ramaekers, Katrien
Braekers, Kris
Issue Date: 2017
Citation: Bruzzone, Agostino; Frascio, Marco; Longo, Francesco; Novak, Vera (Ed.). Proceedings of the International Workshop on Innovative Simulation for Health Care, 2017,p. 1-10 (Art N° 1)
Abstract: Emergency Departments (EDs) constitute an important component in a healthcare system. Recently, they are confronted with a substantial growth in demand. Combined with the ever tightening budgets, this has led to the problem of overcrowding in many EDs. Simulation has been widely used in operations management research for analysing and improving patient flow in EDs. The quality of input data is of great importance to build a realistic simulation model. In this paper, data quality problems in healthcare records of emergency departments are identified based on a case study in a Belgian university hospital. The problems are categorised and data quality assessment techniques are developed for each category. A combination of quantitative and qualitative metrics is described to estimate the potential impact of the data quality issues on simulation.
URI: http://hdl.handle.net/1942/24849
ISBN: 9788897999898
Category: C1
Type: Proceedings Paper
Appears in Collections: Research publications

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