Abstract
Process mining techniques analyze processes based on event data. We analyzed the trajectories of patients in a Dutch hospital from their registration in the emergency room until their discharge. We considered a sample of 1050 patients with symptoms of a sepsis condition, which is a life-threatening condition. We extracted an event log that includes events on activities in the emergency room, admission to hospital wards, and discharge. The event log was enriched with data from laboratory tests and triage checklists.
We try to automatically discover a process model of the patient trajectories, we check conformance to medical guidelines for sepsis patients, and visualize the flow of patients on a de-jure process model. The lessons-learned from this analysis are: (1) process mining can be used to clarify the patient flow in a hospital; (2) process mining can be used to check the daily clinical practice against medical guidelines; (3) process discovery methods may return unsuitable models that are difficult to understand for stakeholders; and (4) process mining is an iterative process, e.g., data quality issues are often discovered and need to be addressed.
We try to automatically discover a process model of the patient trajectories, we check conformance to medical guidelines for sepsis patients, and visualize the flow of patients on a de-jure process model. The lessons-learned from this analysis are: (1) process mining can be used to clarify the patient flow in a hospital; (2) process mining can be used to check the daily clinical practice against medical guidelines; (3) process discovery methods may return unsuitable models that are difficult to understand for stakeholders; and (4) process mining is an iterative process, e.g., data quality issues are often discovered and need to be addressed.
Original language | English |
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Title of host publication | RADAR+EMISA 2017, Essen, Germany, June 12-13, 2017 |
Publisher | CEUR-WS.org |
Pages | 72-80 |
Number of pages | 9 |
Publication status | Published - 2017 |
Event | RADAR + EMISA 2017 - Essen, Germany Duration: 12 Jun 2017 → 13 Jun 2017 |
Publication series
Name | CEUR Workshop Proceedings |
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Volume | 1859 |
ISSN (Print) | 1613-0073 |
Conference
Conference | RADAR + EMISA 2017 |
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Country/Territory | Germany |
City | Essen |
Period | 12/06/17 → 13/06/17 |
Keywords
- Medical guidelines
- Patient trajectories
- Process mining
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Dive into the research topics of 'Analyzing the trajectories of patients with sepsis using process mining'. Together they form a unique fingerprint.Datasets
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Sepsis Cases - event log
Mannhardt, F. (Creator), 4TU.Centre for Research Data, 7 Dec 2016
DOI: 10.4121/uuid:915d2bfb-7e84-49ad-a286-dc35f063a460
Dataset