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A Systematic Methodology for Outpatient Process Analysis Based on Process Mining

  • Minsu Cho
  • Minseok Song
  • Sooyoung Yoo
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 181)

Abstract

A healthcare environment has been important due to the increase in demand for medical services. There have been several research works to improve clinical processes such as decreasing the waiting time for consultation, optimizing reservation systems, etc. In this paper, we suggest a method to analyze outpatient processes based on process mining. Process mining aims at extracting knowledgeable information from event logs recorded in information systems. The proposed methodology includes data integration, data exploration, data analysis, and discussion steps. In the data analysis, process discovery, delta analysis, and what-if analysis using performance analysis results are conducted. To validate our method, we conduct a case study with a tertiary general university hospital in Korea.

Keywords

Process Mining Healthcare Case Study Business Process 

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References

  1. 1.
    Álvaro, R., Diogo, R.F.: Business process analysis in healthcare environments: A methodology based on process mining. Information Systems 37(2), 99–116 (2012)CrossRefGoogle Scholar
  2. 2.
    Anyanwu, K., Sheth, A., Cardoso, J., Miller, J., Kochut, K.: Healthcare enterprise process development and integration. J. Res. Pract. Inf. Technol. 35(2), 83–98 (2003)Google Scholar
  3. 3.
    Binder, M., et al.: On Analyzing Process Compliance in Skin Cancer Treatment: An Experience Report from the Evidence-Based Medical Compliance Cluster (EBMC2). In: Ralyté, J., Franch, X., Brinkkemper, S., Wrycza, S. (eds.) CAiSE 2012. LNCS, vol. 7328, pp. 398–413. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  4. 4.
    Fries, B., Marathe, V.: Determination of Optimal Variable-Sized Multiple-Block Appointment Systems. Operations Research 29(2), 324–345 (1981)CrossRefzbMATHGoogle Scholar
  5. 5.
    Jansson, B.: Choosing a Good Appointment System: A Study of Queues of the Type (D/M/1). Operations Research 14, 292–312 (1966)CrossRefzbMATHMathSciNetGoogle Scholar
  6. 6.
    Lindley, D.V.: The Theory of Queues with a Single Server. Proceedings Cambridge Philosophy Society 48, 277–289 (1952)CrossRefMathSciNetGoogle Scholar
  7. 7.
    Mans, R., Schonenberg, H., Leonardi, G., Panzarasa, S., Cavallini, A., Quaglini, S., van der Aalst, W.M.P.: Process Mining techniques: an application to stroke care. Stud. Health Technol. Inform. 136, 573–578 (2008)Google Scholar
  8. 8.
    Robinson, L.W., Chen, R.: Scheduling doctors’ appointments: Optimal and empirically-based heuristic policies. IIE Trans. 35(3), 295–307 (2003)CrossRefGoogle Scholar
  9. 9.
    van der Aalst, W.M.P.: Business Alignment: Using Process Mining as a Tool for Delta Analysis and Conformance Testing. Requirements Engineering 10(3), 198–211 (2005)CrossRefGoogle Scholar
  10. 10.
    van der Aalst, W.M.P.: Process Mining: Discovery, conformance and enhancement of business processes. Springer, Heidelberg (2011)Google Scholar
  11. 11.
    van der Aalst, W.M.P., Schonenberg, M.H., Song, M.: Time Prediction based on Process Mining. Information Systems 36(2), 450–475 (2011)CrossRefGoogle Scholar
  12. 12.
    Wang, P.P.: Static and Dynamic Scheduling of Customer Arrivals to a Single-Server System. Naval Research Logistics 40, 345–360 (1993)CrossRefzbMATHMathSciNetGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Minsu Cho
    • 1
  • Minseok Song
    • 1
  • Sooyoung Yoo
    • 2
  1. 1.Ulsan National Institute of Science and TechnologyUlju-gun, UlsanRepublic of Korea
  2. 2.Seoul National University Bundang HospitalSeongnam-si, Gyeonggi-doRepublic of Korea

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