ArticleJCO clinical cancer informatics2023
Improving Real-World Mortality Data Quality in Oncology Research: Augmenting Electronic Medical Records With Obituary, Social Security Death Index, and Commercial Claims Data.
Article in JCO clinical cancer informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Validation of a Composite Mortality End Point in a Large Clinicogenomic Real-World Database of Patients With Advanced Cancer.JCO clinical cancer informatics · 2026Article
- Augmenting fact and date of death in electronic health records using internet media sources: a validation study from two large healthcare systems.American journal of epidemiology · 2026Article
- Article
- Post-Metastasis Survival of Patients with High-Risk Localized and Locally Advanced Prostate Cancer Undergoing Primary Treatment in the United States: A Retrospective Study.Targeted oncology · 2025Article
- Comparing prospectively assigned trial and real-world lung cancer patients.Journal of comparative effectiveness research · 2024Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study evaluated the relative improvements in mortality data capture of adding different external data to enriched electronic medical records (EMRs) for patients with melanoma.
methodsAn enriched EMR database, containing structured and unstructured data, was used to evaluate the incremental mortality data capture of the following external data sources: Social Security Administration (SSA), public obituary, and an administrative open-claims database for the claims data set. Overall survival (OS) was assessed for each data set and the composite data set using the Kaplan-Meier method.
resultsA total of 3,882 patients were included in the study. The enriched EMR data set identified 1,085 patients with a death record. The SSA data set identified 213 patients (73 unique when combined with enriched EMR) with a death record, while the obituary data set identified 1,127 patients (241 unique). The administrative claims data set identified 378 patients (73 unique) with a death record; however, all these unique patients were already accounted for in the combined SSA and obituary data set. The composite data set yielded a median OS of 13.39 years, about 4 years shorter than the enriched EMR data set alone (17.63 years).
conclusionWhen the enriched EMR data set was augmented with one external data set, the obituary data set provided the most additional value, followed by claims, and then SSA. The augmentation of all the data sources had a significant impact on the OS results compared with enriched EMR alone.
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