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Patient Pathways Discovery and Analysis Using Process Mining Techniques: An Emergency Department Case Study

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Health Care Systems Engineering (ICHCSE 2017)

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 210))

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Abstract

Acute hospitals are currently facing major pressures due to rising demand, caused by population growth, ageing and high expectations of service quality. Simulation studies have been used to overcome these challenges and to drive improvements. However, the majority of these studies derive their process models manually which is not only unrealistic but also time-consuming. Based on process mining, this paper presents a methodology to analyze the complexity of patients flow within an emergency department. Based on patients event log, process mining techniques are used in this paper to discover the actual patient pathways; understand the high variance in patient pathways taken by diverse groups of patients; and gain insights into bottlenecks and resource utilization. The work is a step forward towards minimizing the latency in the decision making process in such complex healthcare systems.

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Author information

Authors and Affiliations

  1. College of Business, Dublin Institute of Technology (DIT), Aungier Street, Dublin, Ireland

    Waleed Abo-Hamad

Authors
  1. Waleed Abo-Hamad
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Correspondence to Waleed Abo-Hamad .

Editor information

Editors and Affiliations

  1. Dipartimento di Ingegneria dell’Informazione, University of Florence, Florence, Italy

    Paola Cappanera

  2. Department of Industrial and Systems Engineering, University of Wisconsin–Madison, Madison, Wisconsin, USA

    Jingshan Li

  3. Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy

    Andrea Matta

  4. Laboratoire Génie Industriel, École Centrale Paris, Châtenay-Malabry, France

    Evren Sahin

  5. OG Productie en Logistiek Leuven, Katholieke Universiteit Leuven, Leuven, Belgium

    Nico J. Vandaele

  6. Dipartimento di Ingegneria Industriale, University of Florence, Florence, Italy

    Filippo Visintin

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Abo-Hamad, W. (2017). Patient Pathways Discovery and Analysis Using Process Mining Techniques: An Emergency Department Case Study. In: Cappanera, P., Li, J., Matta, A., Sahin, E., Vandaele, N., Visintin, F. (eds) Health Care Systems Engineering. ICHCSE 2017. Springer Proceedings in Mathematics & Statistics, vol 210. Springer, Cham. https://doi.org/10.1007/978-3-319-66146-9_19

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