Measuring and visualizing healthcare process variability
In the studied cohort, patient journeys with greater variability were associated with longer LOS with a dose-response relationship: the higher the variability, the longer LOS. This study presents a standardized way to measure and visualize variability in clinical processes and measure its impact on patient-relevant outcomes.
Authors
- Pengfei Yin
- Abel Armas-Cervantes (ORCID: https://orcid.org/0000-0003-0628-2451)
- Daniel Capurro (ORCID: https://orcid.org/0000-0002-9256-1256)
Institutions
- The Royal Melbourne Hospital (AU)
- The University of Melbourne (AU)
Publication Details
- Journal
- Journal of Biomedical Informatics
- Published
- 2025-09-24
- DOI
- https://doi.org/10.1016/j.jbi.2025.104918
- Primary Topic
- Business Process Modeling and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00