Process mining for healthcare: Characteristics and challenges

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Google Scholar Scholar | Other documents of the author: Munoz-Gama, Jorge; Martin, Niels; Fernandez-Llatas, Carlos; Johnson, Owen Ashby; Sepúlveda, Marcos; Helm, Emmanuel; Galvez, Victor; Rojas, Eric; Martinez-Millana, Antonio; ALOINI, DAVIDE; Amantea, Ilaria; Andrews, Robert; Arias, Michael; Beerepoot, Iris; Benevento, Elisabetta; Burattin, Andrea; Capurro, Daniel; Carmona, Josep; Comuzzi, Marco; Dalmas, Benjamin; de la Fuente, Renede; Di Francescomarino, Chiara; Di Ciccio, Claudio; GATTA, Roberto; Ghidini, Chiara; González López, María Fernanda; Ibanez-Sanchez, Gema; Klasky, Hilda; Kurniati, Angelina Prima; Lu, Xixi; Mannhardt, Felix; Mans, Ronny; Marcos, Mar; Medeiros de Carvalho, Renata; Pegoraro, Marco; Poon, Simon K.; Pufahl, Luise; Reijers, Hajo; Remy, Simon; Rinderle-Ma, Stefanie; SACCHI, LUCIA; Seoane Martinez, Fernando; Song, Minseok; Stefanini, Alessandro; Sulis, Emilio; ter Hofstede, Arthur H.M.; Toussaint, Pieter J.; Traver, Vicente; Valero-Ramon, Zoe; van de Weerd, Inge; van der Aalst, Wil; Vanwersch, Rob; Weske, Mathias; Wynn, Moe; Zerbato, FrancescaMicrosoft Academico
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comunitat-uji-handle:10234/9

comunitat-uji-handle2:10234/7036

comunitat-uji-handle3:10234/8620

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INVESTIGACION

Metadata

Title
Process mining for healthcare: Characteristics and challenges
Author (s)
 Munoz-Gama, Jorge;
 Martin, Niels;
 Fernandez-Llatas, Carlos;
 Johnson, Owen Ashby;
 Sepúlveda, Marcos;
 Helm, Emmanuel;
 Galvez, Victor;
 Rojas, Eric;
 Martinez-Millana, Antonio;
 ALOINI, DAVIDE;
 Amantea, Ilaria;
 Andrews, Robert;
 Arias, Michael;
 Beerepoot, Iris;
 Benevento, Elisabetta;
 Burattin, Andrea;
 Capurro, Daniel;
 Carmona, Josep;
 Comuzzi, MarcoOrcidScopus;
 Dalmas, Benjamin;
 de la Fuente, Renede;
 Di Francescomarino, Chiara;
 Di Ciccio, Claudio;
 GATTA, Roberto;
 Ghidini, Chiara;
 González López, María Fernanda;
 Ibanez-Sanchez, Gema;
 Klasky, Hilda;
 Kurniati, Angelina Prima;
 Lu, XixiOrcid;
 Mannhardt, Felix;
 Mans, Ronny;
 Marcos, Mar;
 Medeiros de Carvalho, Renata;
 Pegoraro, Marco;
 Poon, Simon K.;
 Pufahl, Luise;
 Reijers, Hajo;
 Remy, Simon;
 Rinderle-Ma, Stefanie;
 SACCHI, LUCIA;
 Seoane Martinez, Fernando;
 Song, Minseok;
 Stefanini, Alessandro;
 Sulis, Emilio;
 ter Hofstede, Arthur H.M.;
 Toussaint, Pieter J.;
 Traver, Vicente;
 Valero-Ramon, Zoe;
 van de Weerd, Inge;
 van der Aalst, Wil;
 Vanwersch, Rob;
 Weske, Mathias;
 Wynn, Moe;
 Zerbato, Francesca
Date
2022-02-09
Publisher
Elsevier; Academic Press
URI
http://hdl.handle.net/10234/197608
DOI
https://doi.org/10.1016/j.jbi.2022.103994
ISSN
1532-0464
Bibliographic citation
Munoz-Gama, J., Martin, N., Fernandez-Llatas, C., Johnson, O. A., Sepúlveda, M., Helm, E., ... & Zerbato, F. (2022). Process mining for healthcare: Characteristics and challenges. Journal of Biomedical Informatics, 127, 103994.
Type
info:eu-repo/semantics/article
Version
info:eu-repo/semantics/publishedVersion
Subject
Abstract
Process mining techniques can be used to analyse business processes using the data logged during their execution. These techniques are leveraged in a wide range of domains, including healthcare, where it focuses mainly ... [+]
Process mining techniques can be used to analyse business processes using the data logged during their execution. These techniques are leveraged in a wide range of domains, including healthcare, where it focuses mainly on the analysis of diagnostic, treatment, and organisational processes. Despite the huge amount of data generated in hospitals by staff and machinery involved in healthcare processes, there is no evidence of a systematic uptake of process mining beyond targeted case studies in a research context. When developing and using process mining in healthcare, distinguishing characteristics of healthcare processes such as their variability and patient-centred focus require targeted attention. Against this background, the Process-Oriented Data Science in Healthcare Alliance has been established to propagate the research and application of techniques targeting the data-driven improvement of healthcare processes. This paper, an initiative of the alliance, presents the distinguishing characteristics of the healthcare domain that need to be considered to successfully use process mining, as well as open challenges that need to be addressed by the community in the future. [-]
Is part of
Journal of Biomedical Informatics. 127 (2022) 103994
Funder Name
Universidad Católica de Chile | Agencia Nacional de Investigación y Desarrollo (Chile)
Project code
026/2021 | ANID-PFCHA/Doctorado Nacional/2019–21190116, ANID-PFCHA/Doctorado Nacional/2020–21201411
Rights
info:eu-repo/semantics/openAccess
This item appears in the folowing collection(s)
1532-0464/© 2022 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as 1532-0464/© 2022 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).