Investigation of treatment delay in a complex healthcare process using physician insurance claims data: an application to symptomatic carotid artery stenosis
Routinely collected data provided a comprehensive account of events in the symptom-to-surgery process for carotid endarterectomy. Linear regression and K-means clustering can be used to analyze real-world data to understand causes of delay in complex healthcare processes.
Authors
- Arshia Alimohammadi (ORCID: https://orcid.org/0000-0002-4321-4469)
- Jason Murray Sutherland (ORCID: https://orcid.org/0000-0002-1857-2432)
- Wei Zhang (ORCID: https://orcid.org/0000-0001-7988-1979)
- Sander Gaal
- Mohammad Ehsanul Karim (ORCID: https://orcid.org/0000-0002-0346-2871)
Institutions
- University of British Columbia (CA)
- Institute of Population and Public Health (CA)
Publication Details
- Journal
- BMC Health Services Research
- Published
- 2024-11-29
- DOI
- https://doi.org/10.1186/s12913-024-11860-w
- Citations
- 1
- Primary Topic
- Clinical practice guidelines implementation
- Type
- article
- Field-Weighted Citation Impact
- 0.54