Recommendations for enhancing the usability and understandability of process mining in healthcare

Martin, N, De Weerdt, J, Fernández-Llatas, C et al. (16 more authors) (2020) Recommendations for enhancing the usability and understandability of process mining in healthcare. Artificial Intelligence in Medicine, 109. 101962. p. 101962. ISSN 0933-3657

Abstract

Metadata

Authors/Creators:
  • Martin, N
  • De Weerdt, J
  • Fernández-Llatas, C
  • Gal, A
  • Gatta, R
  • Ibáñez, G
  • Johnson, O ORCID logo https://orcid.org/0000-0003-3998-541X
  • Mannhardt, F
  • Marco-Ruiz, L
  • Mertens, S
  • Munoz-Gama, J
  • Seoane, F
  • Vanthienen, J
  • Wynn, MT
  • Boilève, DB
  • Bergs, J
  • Joosten-Melis, M
  • Schretlen, S
  • Van Acker, B
Keywords: Process mining; Healthcare processes; Event log; Process execution data; Health information system; Hospital information system; Process analysis; Process improvement
Dates:
  • Accepted: 22 September 2020
  • Published (online): 28 September 2020
  • Published: September 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 09 Feb 2022 09:14
Last Modified: 21 Feb 2023 16:53
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.artmed.2020.101962

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