Skip to main content

Process Mining in Healthcare: Data Challenges When Answering Frequently Posed Questions

  • Conference paper
Process Support and Knowledge Representation in Health Care (ProHealth 2012, KR4HC 2012)

Abstract

In hospitals, huge amounts of data are recorded concerning the diagnosis and treatments of patients. Process mining can exploit such data and provide an accurate view on healthcare processes and show how they are really executed. In this paper, we describe the different types of event data found in current Hospital Information Systems (HISs). Based on this classification of available data, open problems and challenges are discussed that need to be solved in order to increase the uptake of process mining in healthcare.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 49.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. van der Aalst, W.M.P.: Process Mining: Discovery, Conformance and Enhancement of Business Processes. Springer, Berlin (2011)

    MATH  Google Scholar 

  2. Blum, T., Padoy, N., Feußner, H., Navab, N.: Workflow Mining for Visualization and Analysis of Surgeries. International Journal of Computer Assisted Radiology and Surgery 3, 379–386 (2008)

    Article  Google Scholar 

  3. Alves de Medeiros, A.K., van der Aalst, W.M.P.: Process Mining towards Semantics. In: Dillon, T.S., Chang, E., Meersman, R., Sycara, K. (eds.) Advances in Web Semantics I. LNCS, vol. 4891, pp. 35–80. Springer, Heidelberg (2008)

    Google Scholar 

  4. Ghionna, L., Greco, G., Guzzo, A., Pontieri, L.: Outlier Detection Techniques for Process Mining Applications. In: An, A., Matwin, S., Raś, Z.W., Ślęzak, D. (eds.) ISMIS 2008. LNCS (LNAI), vol. 4994, pp. 150–159. Springer, Heidelberg (2008)

    Google Scholar 

  5. Günther, C.W., Rozinat, A., van der Aalst, W.M.P., van Uden, K.: Monitoring Deployed Application Usage with Process Mining. BPM Center Report BPM-08-11, BPMcenter.org (2008)

    Google Scholar 

  6. Gupta, S.: Workflow and Process Mining in Healthcare. Master’s thesis. Eindhoven University of Technology, Eindhoven (2007)

    Google Scholar 

  7. Han, B., Jiang, L., Cai, H.: Abnormal Process Instances Identification Method in Healthcare Environment. In: Proceedings of IEEE TrustCom 2011, pp. 1387–1392 (2011)

    Google Scholar 

  8. Haux, R., Winter, A., Ammenwerth, E., Brigl, B.: Strategic Information Management in Hospitals: An Introduction to Hospital Information Systems. Springer, Berlin (2004)

    Book  Google Scholar 

  9. Lang, M., Bürkle, T., Laumann, S., Prokosch, H.-U.: Process Mining for Clinical Workflows: Challenges and Current Limitations. In: Proceedings of MIE 2008. Studies in Health Technology and Informatics, vol. 136, pp. 229–234. IOS Press (2008)

    Google Scholar 

  10. Lenz, R., Reichert, M.: IT Support for Healthcare Processes - Premises, Challenges, Perspectives. Data and Knowledge Engineering 61, 49–58 (2007)

    Article  Google Scholar 

  11. Mans, R.S., Schonenberg, M.H., Leonardi, G., Panzarasa, S., Quaglini, S., van der Aalst, W.M.P.: Process Mining Techniques: An Application to Stroke Care. In: Proceedings of MIE 2008. Studies in Health Technology and Informatics, vol. 136, pp. 573–578. IOS Press (2008)

    Google Scholar 

  12. Mans, R.S., Schonenberg, M.H., Song, M.S., van der Aalst, W.M.P., Bakker, P.J.M.: Application of Process Mining in Healthcare: a Case Study in a Dutch Hospital. In: Fred, A., Filipe, J., Gamboa, H. (eds.) BIOSTEC 2008. CCIS, vol. 25, pp. 425–438. Springer, Heidelberg (2009)

    Google Scholar 

  13. Perimal-Lewis, L., Qin, S., Thompson, C., Hakendorf, P.: Gaining Insight from Patient Journey Data using a Process-Oriented Analysis Approach. In: HIKM 2012. Conferences in Research and Practice in Information Technology, vol. 129, pp. 59–66. Australian Computer Society, Inc. (2012)

    Google Scholar 

  14. Poelmans, J., Dedene, G., Verheyden, G., Van der Mussele, H., Viaene, S., Peters, E.: Combining Business Process and Data Discovery Techniques for Analyzing and Improving Integrated Care Pathways. In: Perner, P. (ed.) ICDM 2010. LNCS, vol. 6171, pp. 505–517. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  15. Rada, R.: Information Systems and Healthcare Enterprises. IGI Global (2008)

    Google Scholar 

  16. Torres Ramos, L.: Healthcare Process Analysis: Validation and Improvements of a Data-based Method using Process Mining and Visual Analytics. Master’s thesis. Eindhoven University of Technology, Eindhoven (2009)

    Google Scholar 

  17. Rebuge, A., Ferreira, D.R.: Business Process Analysis in Healthcare Environments: A Methodology Based on Process Mining. Information Systems 37(2) (2012)

    Google Scholar 

  18. Riemers, P.: Process Improvement in Healthcare: a Data-based Method using a Combination of Process Mining and Visual Analytics. Master’s thesis. Eindhoven University of Technology, Eindhoven (2009)

    Google Scholar 

  19. Treekoverleg. TR-039, Notitie Streefnormstelling Wachttijden Curatieve Sector (2000) (in Dutch)

    Google Scholar 

  20. van der Werf, J.M.E.M., Verbeek, H.M.W., van der Aalst, W.M.P.: Context-Aware Compliance Checking. In: Barros, A., Gal, A., Kindler, E. (eds.) BPM 2012. LNCS, vol. 7481, pp. 98–113. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  21. Zhou, J.Y.: Process mining: Acquiring Objective Process Information for Healthcare Process Management with the CRISP-DM Framework. Master’s thesis. Eindhoven University of Technology, Eindhoven (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Mans, R.S., van der Aalst, W.M.P., Vanwersch, R.J.B., Moleman, A.J. (2013). Process Mining in Healthcare: Data Challenges When Answering Frequently Posed Questions. In: Lenz, R., Miksch, S., Peleg, M., Reichert, M., Riaño, D., ten Teije, A. (eds) Process Support and Knowledge Representation in Health Care. ProHealth KR4HC 2012 2012. Lecture Notes in Computer Science(), vol 7738. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36438-9_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-36438-9_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36437-2

  • Online ISBN: 978-3-642-36438-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics