Skip to main content
SpringerLink
Log in
Book cover

International Conference on Information Technology in Bio- and Medical Informatics

ITBAM 2017: Information Technology in Bio- and Medical Informatics pp 82–91Cite as

Audit Trails in OpenSLEX: Paving the Road for Process Mining in Healthcare

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10443))

Abstract

The analysis of organizational and medical treatment processes is crucial for the future development of the healthcare domain. Recent approaches to enable process mining on healthcare data make use of the hospital information systems’ Audit Trails. In this work, methods are proposed to integrate Audit Trail data into the generic OpenSLEX meta model to allow for an analysis of healthcare data from different perspectives (e.g. patients, doctors, resources). Instead of flattening the event data in a single log file the proposed methodology preserves as much information as possible in the first stages of data extraction and preparation. By building on established standardized data and message specifications for auditing in healthcare, we increase the range of analysis opportunities in the healthcare domain.

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

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 EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Learn about institutional subscriptions

Notes

  1. 1.

    https://github.com/edugonza/OpenSLEX/blob/master/doc/meta-model.png.

  2. 2.

    RadLex ontology: http://www.radlex.org.

References

  1. IEEE Standard for eXtensible Event Stream (XES) for Achieving Interoperability in Event Logs and Event Streams. IEEE Std 1849–2016, pp. 1–50, November 2016

    Google Scholar 

  2. National Energy Marketers Association: Nema PS3/ISO 12052, digital imaging and communications in medicine (dicom) standard. Website (2016). http://medical.nema.org/

  3. Infrastructure Technical Committee: Standardized operational log of events (sole). IHE Radiology Technical Framework Supplement Rev. 1.0 Draft for Public Comment, 51 (2017)

    Google Scholar 

  4. Cruz-Correia, R., Boldt, I., Lapão, L., Santos-Pereira, C., Rodrigues, P.P., Ferreira, A.M., Freitas, A.: Analysis of the quality of hospital information systems audit trails. BMC Med. Inf. Decis. Making 13(1), 84 (2013)

    Article  Google Scholar 

  5. Erickson, B.J., Meenan, C., Langer, S.: Standards for business analytics and departmental workflow. J. Digital Imaging 26(1), 53–57 (2013)

    Article  Google Scholar 

  6. Helm, E., Paster, F.: First steps towards process mining in distributed health information systems. Int. J. Electron. Telecommun. 61(2), 137–142 (2015)

    Article  Google Scholar 

  7. IHE: Audit trail and node authentication (atna). IHE IT Infrastructure (ITI) Technical Framework, vol. 1, Integration Profiles ITI-TF-1, 71–83 (2016)

    Google Scholar 

  8. Ingvaldsen, J.E., Gulla, J.A.: Preprocessing support for large scale process mining of SAP transactions. In: Hofstede, A., Benatallah, B., Paik, H.-Y. (eds.) BPM 2007. LNCS, vol. 4928, pp. 30–41. Springer, Heidelberg (2008). doi:10.1007/978-3-540-78238-4_5

    Chapter  Google Scholar 

  9. ER, M., Astuti, H.M., Wardhani, I.R.K.: Material movement analysis for warehouse business process improvement with process mining: a case study. In: Bae, J., Suriadi, S., Wen, L. (eds.) AP-BPM 2015. LNBIP, vol. 219, pp. 115–127. Springer, Cham (2015). doi:10.1007/978-3-319-19509-4_9

    Chapter  Google Scholar 

  10. Mueller-Wickop, N., Schultz, M.: ERP event log preprocessing: timestamps vs. accounting logic. In: Brocke, J., Hekkala, R., Ram, S., Rossi, M. (eds.) DESRIST 2013. LNCS, vol. 7939, pp. 105–119. Springer, Heidelberg (2013). doi:10.1007/978-3-642-38827-9_8

    Chapter  Google Scholar 

  11. González López de Murillas, E., Reijers, H.A., Aalst, W.M.P.: Connecting databases with process mining: a meta model and toolset. In: Schmidt, R., Guédria, W., Bider, I., Guerreiro, S. (eds.) BPMDS/EMMSAD -2016. LNBIP, vol. 248, pp. 231–249. Springer, Cham (2016). doi:10.1007/978-3-319-39429-9_15

    Google Scholar 

  12. Rebuge, Á., Ferreira, D.R.: Business process analysis in healthcare environments: a methodology based on process mining. Inf. Syst. 37(2), 99–116 (2012)

    Article  Google Scholar 

  13. Rojas, E., Munoz-Gama, J., Sepúlveda, M., Capurro, D.: Process mining in healthcare: a literature review. J. Biomed. Inf. 61, 224–236 (2016)

    Article  Google Scholar 

  14. Sismanis, Y., Brown, P., Haas, P.J., Reinwald, B.: Gordian: efficient and scalable discovery of composite keys. In: Proceedings of the 32nd International Conference on Very Large Data Bases, pp. 691–702. VLDB Endowment (2006)

    Google Scholar 

  15. Štolfa, J., Kopka, M., Štolfa, S., Koběrskỳ, O., Snášel, V.: An application of process mining to invoice verification process in SAP. In: Abraham, A., Krömer, P., Snášel, V. (eds.) Innovations in Bio-inspired Computing and Applications. AISC, vol. 237, pp. 61–74. Springer, Cham (2014)

    Chapter  Google Scholar 

  16. Zhang, M., Hadjieleftheriou, M., Ooi, B.C., Procopiuc, C.M., Srivastava, D.: On multi-column foreign key discovery. Proc. VLDB Endowment 3(1–2), 805–814 (2010)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, The Netherlands

    Eduardo González López de Murillas & Hajo A. Reijers

  2. Research Department of e-Health, Integrated Care, University of Applied Sciences Upper Austria, Hagenberg, Austria

    Emmanuel Helm

  3. Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Hajo A. Reijers

  4. Institute for Applied Knowledge Processing, Johannes Kepler University, Linz, Austria

    Josef Küng

Authors
  1. Eduardo González López de Murillas
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Emmanuel Helm
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Hajo A. Reijers
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Josef Küng
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Eduardo González López de Murillas .

Editor information

Editors and Affiliations

  1. Czech Technical University, Prague, Czech Republic

    Miroslav Bursa

  2. Medical University Graz, Graz, Austria

    Andreas Holzinger

  3. Institute of Informatics and Telematics, Pisa, Italy

    M. Elena Renda

  4. San José State University, San José, California, USA

    Sami Khuri

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

González López de Murillas, E., Helm, E., Reijers, H.A., Küng, J. (2017). Audit Trails in OpenSLEX: Paving the Road for Process Mining in Healthcare. In: Bursa, M., Holzinger, A., Renda, M., Khuri, S. (eds) Information Technology in Bio- and Medical Informatics. ITBAM 2017. Lecture Notes in Computer Science(), vol 10443. Springer, Cham. https://doi.org/10.1007/978-3-319-64265-9_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-64265-9_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64264-2

  • Online ISBN: 978-3-319-64265-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation