ArticleHealthcare informatics research2013
Discovery of outpatient care process of a tertiary university hospital using process mining.
Article in Healthcare informatics research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- A scenario-driven simulation approach to sustainable hospital resource management: aging society, pandemic preparedness and referral enhancement.BMC health services research · 2025Article
- Monitoring patient pathways at a secondary healthcare services through process mining via Fuzzy Miner.BMC medical informatics and decision making · 2025Article
- Investigating the service utilization and pathways of patients with alcohol use disorders.Alcohol and alcoholism (Oxford, Oxfordshire) · 2024Article
- Characterization of Laboratory Flow and Performance for Process Improvements via Application of Process Mining.Applied clinical informatics · 2023Article
- Observational
- Dynamic Demand-Centered Process-Oriented Data Model for Inventory Management of Hemovigilance Systems.Healthcare informatics research · 2021Article
- Impact of COVID-19 Pandemic on the Overall Diagnostic and Therapeutic Process for Patients of Emergency Department and Those with Acute Cerebrovascular Disease.Journal of clinical medicine · 2020Article
- Process Mining of Incoming Patients with Sepsis.Online journal of public health informatics · 2019Article
- Multidisciplinary Collaboration in the Treatment of Patients With Type 2 Diabetes in Primary Care: Analysis Using Process Mining.Journal of medical Internet research · 2018Article
- Conformance Analysis of Clinical Pathway Using Electronic Health Record Data.Healthcare informatics research · 2015Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThere is a need for effective processes in healthcare clinics, especially in tertiary hospitals, that consist of a set of complex steps for outpatient care, in order to provide high quality care and reduce the time cost. This study aimed to discover the potential of a process mining technique to determine an outpatient care process that can be utilized for further improvements.
methodsThe outpatient event log was defined, and the log data for a month was extracted from the hospital information system of a tertiary university hospital. That data was used in process mining to discover an outpatient care process model, and then the machine-driven model was compared with a domain expert-driven process model in terms of the accuracy of the matching rate.
resultsFrom a total of 698,158 event logs, the most frequent pattern was found to be "Consultation registration > Consultation > Consultation scheduling > Payment > Outside-hospital prescription printing" (11.05% from a total cases). The matching rate between the expert-driven process model and the machine-driven model was found to be approximately 89.01%, and most of the processes occurred with relative accuracy in accordance with the expert-driven process model.
conclusionsKnowledge regarding the process that occurs most frequently in the pattern is expected to be useful for hospital resource assignments. Through this research, we confirmed that process mining techniques can be applied in the healthcare area, and through detailed and customized analysis in the future, it can be expected to be used to improve actual outpatient care processes.
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