Measuring the impact of COVID-19 on hospital care pathways

Puthur, C, Aljebreen, A orcid.org/0000-0002-4746-3446, McInerney, C et al. (3 more authors) (2023) Measuring the impact of COVID-19 on hospital care pathways. In: Lecture Notes in Business Information Processing. 4th International Conference on Process Mining, 23 Oct 2022 - 28 Apr 2023, Bozen-Bolzano, Italy. Springer Nature , pp. 391-403. ISBN 978-3-031-27814-3

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Item Type: Proceedings Paper
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© 2023 The Author(s). This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Keywords: A &E; Care pathways; Conformance checking; COVID-19; Maternity; Normative model; Patient-flow; Perturbations; Process changes; Process mining
Dates:
  • Published: 26 March 2023
  • Published (online): 26 March 2023
  • Accepted: 16 September 2022
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: 05 Apr 2023 08:58
Last Modified: 25 Jun 2023 23:18
Status: Published
Publisher: Springer Nature
Identification Number: 10.1007/978-3-031-27815-0_29
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