Assessing the harmonization of structured electronic health record data to reference terminologies and data completeness through data provenance
The harmonization queries surfaced several mapping errors, as well as issues with overly specific codes and records with "null" codes. The completeness queries demonstrated having access to multiple types of data provenance provides more robust results compared with any single provenance type. Harmonization errors between source data and reference terminologies may not be widespread but do exist within CDMs, affecting tens of thousands or even millions of records. Provenance information can help identify potential completeness issues with EHR data, but only if it is represented in the CDM and then populated by DPs.
Authors
- Thomas Phillips (ORCID: https://orcid.org/0009-0002-2682-7615)
- Yinghong Zhang (ORCID: https://orcid.org/0000-0001-6805-7917)
- Daniel Kiernan
- C. Larry Hill (ORCID: https://orcid.org/0000-0003-4964-0693)
- Keith A. Marsolo (ORCID: https://orcid.org/0000-0002-4416-1549)
- Gretchen Sanders (ORCID: https://orcid.org/0000-0001-5061-7947)
- Sarah K. Dutcher (ORCID: https://orcid.org/0000-0003-0574-2890)
- José J. Hernández‐Muñoz (ORCID: https://orcid.org/0000-0002-2553-3159)
- Judith C. Maro (ORCID: https://orcid.org/0000-0001-9900-2142)
- Monique Falconer
- Lesley H. Curtis (ORCID: https://orcid.org/0000-0002-3286-9371)
- Jennifer Xu (ORCID: https://orcid.org/0000-0003-4565-5919)
- Laura G. Qualls
- Kevin Coughlin
- Christine Draper
Institutions
- United States Food and Drug Administration (US)
- Children's Hospital of Philadelphia (US)
- Harvard University (US)
- Duke University (US)
- Clinical Research Institute (US)
- Harvard Pilgrim Health Care (US)
Publication Details
- Journal
- Learning Health Systems
- Published
- 2024-10-21
- DOI
- https://doi.org/10.1002/lrh2.10468
- Citations
- 1
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.23
Funders
- Amgen
- Seqirus
- U.S. Food and Drug Administration
- Genentech