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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)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7738))

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.

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Author information

Authors and Affiliations

  1. Department of Information Systems, Eindhoven University of Technology, P.O. Box 513, NL-5600 MB, Eindhoven, The Netherlands

    Ronny S. Mans, Wil M. P. van der Aalst & Rob J. B. Vanwersch

  2. Department of Quality Assurance and Process Innovation, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands

    Arnold J. Moleman

Authors
  1. Ronny S. Mans
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  2. Wil M. P. van der Aalst
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  3. Rob J. B. Vanwersch
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  4. Arnold J. Moleman
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Editor information

Editors and Affiliations

  1. Dept. of Computer Science, Data Management, University of Erlangen and Nuremberg, Martensstr. 3, 91058, Erlangen, Germany

    Richard Lenz

  2. Institute of Software Technology and Interactive Systems, Information and Software Engineering Gruop, Vienna University of Technology, Favoritenstr. 9-11, 1040, Vienna, Austria

    Silvia Miksch

  3. Faculty of Social Sciences, Dept. of Information Systems, University of Haifa, Rabin Bldg., room 7049, 31905, Haifa, Israel

    Mor Peleg

  4. Institute of Databases and Information Systems, Ulm University, Building 027 # room 524, James-Tranck-Ring, 89069, Ulm, Germany

    Manfred Reichert

  5. Dept. d’Enginyeria Informàtica i Matimàtiques, Research Group on Artificial Intelligence, Universitat Rovira i Virgili, Av. Països Catalans 26, 43007, Tarragona, Spain

    David Riaño

  6. Dept. of AI, Knowledge Representation and Reasoning Gruop, Vrije Universiteit Amsterdam, De Boelelaan 1081A, 1081HV, Amsterdam, The Netherlands

    Annette ten Teije

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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

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  • 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)

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