Data-Driven Guideline Adherence in Data Representation and Compliance Measurement: Scoping Review
Despite promising advances, challenges persist in computer-interpretable representation and measuring adherence in a clinically meaningful way. Current approaches predominantly assess technical alignment rather than clinical relevance and are limited by data quality and standardization, thereby limiting real-world utility. This scoping review offers an innovative contribution by synthesizing evidence from 2 separate domains-the computable representation of best practice standards and the measurement of adherence. The findings emphasize the need for context-aware, standardized modeling and integration with clinical workflows to distinguish warranted from unwarranted deviations. Such advances are essential for scalable, transparent, and real-time adherence monitoring-ultimately driving safer, patient-centered care delivery.
Authors
- Tim Shaw (ORCID: https://orcid.org/0000-0003-0783-1918)
- Amith Shetty (ORCID: https://orcid.org/0000-0001-7349-1128)
- Candice Donnelly (ORCID: https://orcid.org/0000-0003-4398-2908)
- Minh Trang Hoang (ORCID: https://orcid.org/0009-0007-4626-2953)
- Malcolm Pradhan (ORCID: https://orcid.org/0009-0003-3295-1046)
- Christina Igasto
Institutions
- Sydney South West Area Health Service (AU)
- The University of Sydney (AU)
- New South Wales Department of Health (AU)
- Sydney Local Health District (AU)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-11-27
- DOI
- https://doi.org/10.2196/79937
- Primary Topic
- Medication Adherence and Compliance
- Type
- article
- Field-Weighted Citation Impact
- 0.00