Assessing the Data Quality Dimensions of Surgical Oncology Cohorts in the <i>All of Us</i> Research Program
We identified multiple data completeness issues, which limited the fitness for use evaluation. Also, using the OMOP CDM procedure concepts and mappings presented challenges for our study. Variable amounts of missingness in OMOP CDM surgical oncology data may affect the fitness for use of cancer data. Further research is warranted to improve the quality of that data.
Authors
- John Giannini (ORCID: https://orcid.org/0000-0001-7626-6540)
- Tamara R. Litwin (ORCID: https://orcid.org/0000-0003-2130-6263)
- 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)
- Stephanie L. Goff (ORCID: https://orcid.org/0000-0003-3317-9804)
- Yechiam Ostchega (ORCID: https://orcid.org/0009-0001-8054-9727)
Institutions
- National Institutes of Health (US)
- Office of the Director (US)
- National Cancer Institute (US)
- Center for Cancer Research (US)
Publication Details
- Journal
- JCO Clinical Cancer Informatics
- Published
- 2025-07-01
- DOI
- https://doi.org/10.1200/cci-25-00078
- Citations
- 1
- Primary Topic
- Global Cancer Incidence and Screening
- Type
- article
- Field-Weighted Citation Impact
- 1.05