ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2022
The Impact of Name Transformation on Match Rates Within a Large Consumer Database.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Article
- Accuracy of privacy preserving record linkage for real world data in the United States: a systemic review.JAMIA open · 2025Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Accurate record linkage depends on the availability and quality of features such as first name and last name. Privacy preserving record linkage methods using tokenization is sensitive to perturbations in the patient features used as inputs. In this study we evaluated the impact of name transformations on the accuracy of patient matching using a large commercial dataset. We used a set of 68 million records representing 59 million unique individuals, and implemented and evaluated eight name transformation strategies, and generated precision, recall and F1 scores. Transforming names to include the most common nicknames resulted in a significant gain in recall while maintaining precision, and generated the highest F1 score compared with no name transformation (0.905 vs 0.807). Strategies tailored to transforming patient features can improve the precision and recall of patient matching, and make it possible to create high quality, linked datasets for research purposes.
Indexed as
Identifiers
37128403PMC10148307What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.