Process mining for healthcare: Characteristics and challenges.
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 t...
| Publicado en: | Journal of Biomedical Informatics Vol. 127 |
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| Autores principales: | , , , , , , , , , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Academic Press Inc.
Mar2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=155527424&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 155527424 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15320464 OMB jtl: Journal of Biomedical Informatics issn: 15320464 maglogo: N pubinfo: dt: Mar2022 vid: 127 pid: 735 pub: Academic Press Inc. place: Burlington, Massachusetts artinfo: ui: 155527424 155527424 NLM35104641 155527424 10.1016/j.jbi.2022.103994 NLM35104641 155527424 ppct: 1 formats: tig: atl: Process mining for healthcare: Characteristics and challenges. aug: au: Munoz-Gama, Jorge Martin, Niels Fernandez-Llatas, Carlos Johnson, Owen A. Sepúlveda, Marcos Helm, Emmanuel Galvez-Yanjari, Victor Rojas, Eric Martinez-Millana, Antonio Aloini, Davide Amantea, Ilaria Angela Andrews, Robert Arias, Michael Beerepoot, Iris Benevento, Elisabetta Burattin, Andrea Capurro, Daniel Carmona, Josep Comuzzi, Marco Dalmas, Benjamin affil: Pontificia Universidad Católica de Chile, Chile sug: subj: Health Care Delivery Hospitals Human Comparative Studies Multicenter Studies Evaluation Research Validation Studies ab: 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. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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