A process mining-based investigation of adverse events in care processes.

This paper proposes the Clinical Pathway Analysis Method (CPAM) approach that enables the extraction of valuable organisational and medical information on past clinical pathway executions from the event logs of healthcare information systems. The method deals with the complexity of real-world clinic...

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Publicado en:Health Information Management Journal Vol. 43; no. 1; pp. 16 - 26
Autores principales: Caron, Filip, Vanthienen, Jan, Vanhaecht, Kris, Van Limbergen, Erik, Deweerdt, Jochen, Baesens, Bart
Formato: Journal Article
Publicado: Sage Publications Inc. 2014
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Sage Publications Inc.
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        atl: A process mining-based investigation of adverse events in care processes.
      aug:
        au:
          Caron, Filip
          Vanthienen, Jan
          Vanhaecht, Kris
          Van Limbergen, Erik
          Deweerdt, Jochen
          Baesens, Bart
        affil: Department of Decision Sciences and Information Management, KU Leuven, Naamsestraat 69, 3000 Leuven, BELGIUM
      sug:
        subj:
          Critical Path Evaluation
          Quality of Health Care
          Process Assessment (Health Care)
          Patient Care
          Adverse Health Care Event
          Hospital Information Systems
          Practice Guidelines Utilization
      ab: This paper proposes the Clinical Pathway Analysis Method (CPAM) approach that enables the extraction of valuable organisational and medical information on past clinical pathway executions from the event logs of healthcare information systems. The method deals with the complexity of real-world clinical pathways by introducing a perspective-based segmentation of the date-stamped event log. CPAM enables the clinical pathway analyst to effectively and efficiently acquire a profound insight into the clinical pathways. By comparing the specific medical conditions of patients with the factors used for characterising the different clinical pathway variants, the medical expert can identify the best therapeutic option. Process mining-based analytics enables the acquisition of valuable insights into clinical pathways, based on the complete audit traces of previous clinical pathway instances. Additionally, the methodology is suited to assess guideline compliance and analyse adverse events. Finally, the methodology provides support for eliciting tacit knowledge and providing treatment selection assistance.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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