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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Álvaro, R., Diogo, R.F.: Business process analysis in healthcare environments: A methodology based on process mining. Information Systems 37(2), 99–116 (2012)
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)
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)
Fries, B., Marathe, V.: Determination of Optimal Variable-Sized Multiple-Block Appointment Systems. Operations Research 29(2), 324–345 (1981)
Jansson, B.: Choosing a Good Appointment System: A Study of Queues of the Type (D/M/1). Operations Research 14, 292–312 (1966)
Lindley, D.V.: The Theory of Queues with a Single Server. Proceedings Cambridge Philosophy Society 48, 277–289 (1952)
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)
Robinson, L.W., Chen, R.: Scheduling doctors’ appointments: Optimal and empirically-based heuristic policies. IIE Trans. 35(3), 295–307 (2003)
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)
van der Aalst, W.M.P.: Process Mining: Discovery, conformance and enhancement of business processes. Springer, Heidelberg (2011)
van der Aalst, W.M.P., Schonenberg, M.H., Song, M.: Time Prediction based on Process Mining. Information Systems 36(2), 450–475 (2011)
Wang, P.P.: Static and Dynamic Scheduling of Customer Arrivals to a Single-Server System. Naval Research Logistics 40, 345–360 (1993)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Cho, M., Song, M., Yoo, S. (2014). A Systematic Methodology for Outpatient Process Analysis Based on Process Mining. In: Ouyang, C., Jung, JY. (eds) Asia Pacific Business Process Management. AP-BPM 2014. Lecture Notes in Business Information Processing, vol 181. Springer, Cham. https://doi.org/10.1007/978-3-319-08222-6_3
Download citation
DOI: https://doi.org/10.1007/978-3-319-08222-6_3
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08221-9
Online ISBN: 978-3-319-08222-6
eBook Packages: Computer ScienceComputer Science (R0)