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

Caron, Filip, Vanthienen, Jan, Vanhaecht, Kris, Van Limbergen, Erik, De Weerdt, Jochen, & Baesens, Bart (2014) A process mining-based investigation of adverse events in care processes. Health Information Management Journal, 43(1), pp. 16-25.

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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.

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2 citations in Scopus
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ID Code: 88586
Item Type: Journal Article
Refereed: Yes
Keywords: Clinical Pathways; Medical Informatics; Quality of Healthcare; Hospital Information Systems; Information Storage and Retrieval
DOI: 10.12826/18333575.2013.0013.Caron
ISSN: 1833-3583
Divisions: Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 08 Nov 2015 23:35
Last Modified: 08 Nov 2015 23:35

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