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What Role Can Process Mining Play in Recurrent Clinical Guidelines Issues? A Position Paper

Author

Listed:
  • Roberto Gatta

    (Dipartimento di Scienze Cliniche e Sperimentali dell’Università degli Studi di Brescia, 25128 Brescia, Italy)

  • Mauro Vallati

    (School of Computing and Engineering, University of Huddersfield, Huddersfield HD13DH, UK)

  • Carlos Fernandez-Llatas

    (PM4Health-SABIEN-ITACA, Universitat Politècnica de València, 46022 València, Spain
    Department of Clinical Sciences, Intervention and Technology (CLINTEC), Karolinska Institutet, 171 77 Stockholm, Sweden)

  • Antonio Martinez-Millana

    (PM4Health-SABIEN-ITACA, Universitat Politècnica de València, 46022 València, Spain)

  • Stefania Orini

    (Alzheimer Operative Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, 25128 Brescia, Italy)

  • Lucia Sacchi

    (Department of Electrical, Computer and Biomedical Engineering, Università di Pavia, 27100 Pavia, Italy)

  • Jacopo Lenkowicz

    (Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Roma, Italy)

  • Mar Marcos

    (Department of Computer Engineering and Science, Universitat Jaume I, 12071 Castelló de la Plana, Spain)

  • Jorge Munoz-Gama

    (Human & Process Research Lab (HAPLAB), Department of Computer Science, School of Engineering, Pontificia Universidad Católica de Chile, 3580000 Santiago, Chile)

  • Michel A. Cuendet

    (Department of Oncology, University Hospital of Lausanne, 1011 Lausanne, Switzerland
    Swiss Institute of Bioinformatics, UNIL Sorge, 1015 Lausanne, Switzerland)

  • Berardino de Bari

    (Radiation Oncology, Réseau Hospitalier Neuchâtelois, 2000 La Chaux-de-Fonds, Switzerland
    Department of Oncology, Lausanne University Hospital, University of Lausanne, 1015 Lausanne, Switzerland)

  • Luis Marco-Ruiz

    (Norwegian Centre for E-health Research, University Hospital of North Norway, 7439 Tromsø, Norway)

  • Alessandro Stefanini

    (Dipartimento di Ingegneria dell’energia dei sistemi del territorio e delle costruzioni, Università degli Studi di Pisa, 56126 Pisa, Italy)

  • Zoe Valero-Ramon

    (PM4Health-SABIEN-ITACA, Universitat Politècnica de València, 46022 València, Spain)

  • Olivier Michielin

    (Department of Oncology, University Hospital of Lausanne, 1011 Lausanne, Switzerland
    Swiss Institute of Bioinformatics, UNIL Sorge, 1015 Lausanne, Switzerland)

  • Tomas Lapinskas

    (Department of Cardiology, Medical Academy, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania)

  • Antanas Montvila

    (Department of Radiology, Medical Academy, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania)

  • Niels Martin

    (Data Analytics Laboratory, Vrije Universiteit Brussel, 1050 Ixelles, Belgium
    Research Foundation Flanders (FWO), 1000 Brussel, Belgium
    Hasselt University, 3500 Hasselt, Belgium)

  • Erica Tavazzi

    (Department of Oncology, University Hospital of Lausanne, 1011 Lausanne, Switzerland
    Department of Information Engineering, Università degli Studi di Padova, 35122 Padova, Italy)

  • Maurizio Castellano

    (Dipartimento di Scienze Cliniche e Sperimentali dell’Università degli Studi di Brescia, 25128 Brescia, Italy)

Abstract

In the age of Evidence-Based Medicine, Clinical Guidelines (CGs) are recognized to be an indispensable tool to support physicians in their daily clinical practice. Medical Informatics is expected to play a relevant role in facilitating diffusion and adoption of CGs. However, the past pioneering approaches, often fragmented in many disciplines, did not lead to solutions that are actually exploited in hospitals. Process Mining for Healthcare (PM4HC) is an emerging discipline gaining the interest of healthcare experts, and seems able to deal with many important issues in representing CGs. In this position paper, we briefly describe the story and the state-of-the-art of CGs, and the efforts and results of the past approaches of medical informatics. Then, we describe PM4HC, and we answer questions like how can PM4HC cope with this challenge? Which role does PM4HC play and which rules should be employed for the PM4HC scientific community?

Suggested Citation

  • Roberto Gatta & Mauro Vallati & Carlos Fernandez-Llatas & Antonio Martinez-Millana & Stefania Orini & Lucia Sacchi & Jacopo Lenkowicz & Mar Marcos & Jorge Munoz-Gama & Michel A. Cuendet & Berardino de, 2020. "What Role Can Process Mining Play in Recurrent Clinical Guidelines Issues? A Position Paper," IJERPH, MDPI, vol. 17(18), pages 1-19, September.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:18:p:6616-:d:412153
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    References listed on IDEAS

    as
    1. Begoña Martínez-Salvador & Mar Marcos, 2016. "Supporting the Refinement of Clinical Process Models to Computer-Interpretable Guideline Models," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 58(5), pages 355-366, October.
    2. Rashidian, Arash & Eccles, Martin P. & Russell, Ian, 2008. "Falling on stony ground A qualitative study of implementation of clinical guidelines' prescribing recommendations in primary care," Health Policy, Elsevier, vol. 85(2), pages 148-161, February.
    3. Legido-Quigley, Helena & Panteli, Dimitra & Brusamento, Serena & Knai, Cécile & Saliba, Vanessa & Turk, Eva & Solé, Meritxell & Augustin, Uta & Car, Josip & McKee, Martin & Busse, Reinhard, 2012. "Clinical guidelines in the European Union: Mapping the regulatory basis, development, quality control, implementation and evaluation across member states," Health Policy, Elsevier, vol. 107(2), pages 146-156.
    4. Richard N. Shiffman & Robert A. Greenes, 1994. "Improving Clinical Guidelines with Logic and Decision-table Techniques," Medical Decision Making, , vol. 14(3), pages 245-254, August.
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