Adapting historical clinical genetic test records for anonymised data linkage: obstacles and opportunities
Extracting useful information from historical clinical genetic test records is a significant challenge with technical and governance aspects. The mixing of unique identifiers with clinical data in heterogeneous, unstructured free text combined with a lack of automated tools meant that manual annotation was required to adhere to the separation principle. As such, only a minimum of the available clinical data was annotatable within the project timeline and mutually exclusive access to the identifiable and pseudonymised data meant that annotations could not later be validated. Future efforts to link clinical genetic test records for research must consider these challenges in their approach.
Authors
- Kate Reed (ORCID: https://orcid.org/0000-0002-9812-3732)
- Andrew E. Fry (ORCID: https://orcid.org/0000-0001-9778-6924)
- Ralph Maddison (ORCID: https://orcid.org/0000-0001-8564-5518)
- Fiona Lugg‐Widger (ORCID: https://orcid.org/0000-0003-0029-9703)
- Rebecca L. Cannings-John (ORCID: https://orcid.org/0000-0001-5235-6517)
- Sarah Anderson (ORCID: https://orcid.org/0000-0002-9932-3285)
- Thomas Stoneman
Institutions
- Public Health Wales (GB)
- Genomics (United Kingdom) (GB)
- Cardiff University (GB)
Publication Details
- Journal
- International Journal for Population Data Science
- Published
- 2025-02-20
- DOI
- https://doi.org/10.23889/ijpds.v8i5.2924
- Primary Topic
- Genomics and Rare Diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Health and Care Research Wales
- Parc Geneteg Cymru
- Cardiff University