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Using Process Mining for Process Analysis Improvement in Pre-hospital Emergency

In: ICT for an Inclusive World

Author

Listed:
  • Peyman Badakhshan

    (University of Liechtenstein Institute of Information Systems)

  • Ahmad Alibabaei

    (Shahid Beheshti University of Medical Sciences, School of Management and Medical Education Sciences)

Abstract

Process management has been considered in many organizations. Finding improvement opportunities is an important part of process management. Process mining technique can be used for analyzing the processes and extracting improvement opportunities. Healthcare systems includes one of complicated processes between industries. In this paper, process mining techniques are used in order to analyze pre-hospital processes in emergency room. The process discovery phase is implemented based on 4 different states, which are introduced in this study to increase the accuracy of process analysis. After discovering the process model, conformance checking and enhancement are following steps that were done in this study. The data is extracted from the automation system of a pre-hospital emergency room, which is used as input event logs for process mining. Statistical records including control sheet of one year were provided by the organization. Control sheet and in consequence the P-control chart are used as supplement of conformance checking phase. Enhancement phase is based on two states, and used performance analysis by considering factors of output, cycle time/duration and costs, which helps the pre-hospital emergency room to improve their processes.

Suggested Citation

  • Peyman Badakhshan & Ahmad Alibabaei, 2020. "Using Process Mining for Process Analysis Improvement in Pre-hospital Emergency," Lecture Notes in Information Systems and Organization, in: Youcef Baghdadi & Antoine Harfouche & Marta Musso (ed.), ICT for an Inclusive World, pages 567-580, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-34269-2_39
    DOI: 10.1007/978-3-030-34269-2_39
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    Cited by:

    1. Robert Andrews & Moe T. Wynn & Kirsten Vallmuur & Arthur H. M. ter Hofstede & Emma Bosley, 2020. "A Comparative Process Mining Analysis of Road Trauma Patient Pathways," IJERPH, MDPI, vol. 17(10), pages 1-22, May.

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