Application of a Data Quality Framework to Ductal Carcinoma In Situ Using Electronic Health Record Data From the <i>All of Us</i> Research Program
This assessment and evaluation provided insights into data quality for the DCIS phenotype using EHR data from the <i>All of Us</i> Research Program. The review demonstrates that salient clinical measures can be selected, applied, and operationalized within a conceptual framework and evaluated for fitness for use by applying a proposed checklist.
Authors
- John Giannini (ORCID: https://orcid.org/0000-0001-7626-6540)
- Henry M. Spotnitz (ORCID: https://orcid.org/0000-0003-2869-0237)
- Lewis E. Berman (ORCID: https://orcid.org/0000-0003-3025-6990)
- Emily Clark (ORCID: https://orcid.org/0000-0002-0039-0470)
- Andrea H. Ramirez (ORCID: https://orcid.org/0000-0002-6460-0182)
- Lina Sulieman (ORCID: https://orcid.org/0000-0002-2680-8230)
- Michael Volynski
- Lakshmi Priya Anandan (ORCID: https://orcid.org/0009-0006-5541-0287)
- Yechiam Ostchega (ORCID: https://orcid.org/0009-0001-8054-9727)
Institutions
- Leidos (United States) (US)
- National Institutes of Health (US)
- Vanderbilt University Medical Center (US)
Publication Details
- Journal
- JCO Clinical Cancer Informatics
- Published
- 2024-08-01
- DOI
- https://doi.org/10.1200/cci.24.00052
- Citations
- 2
- Primary Topic
- Data Quality and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.98