ArticleJournal of the American Medical Informatics Association : JAMIA2025
Application of a digital quality measure for cancer diagnosis in Epic Cosmos.
Article in Journal of the American Medical Informatics Association : JAMIA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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.
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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
7 citing papers in PubMed.
- Cancer-associated arterial thromboembolism: real-world burden from a nationwide electronic health record database.Journal of the National Cancer Institute · 2026Article
- Emergency cancer diagnosis in older adults: patterns, subgroups, and implications for health-care quality metrics.JNCI cancer spectrum · 2026Article
- Inpatient mortality following hip fracture in the United States: an updated analysis of over one million cases.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2026Article
- Advancing Real-World Evidence Generation: Growth and Lessons Learned from the Early Years of Cosmos.ACI open · 2026Review
- Letter to the Editor in response to "Application of a digital quality measure for cancer diagnosis in Epic Cosmos".Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Application of a digital quality measure for cancer diagnosis in Epic Cosmos.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Advancing a learning health system through biomedical and health informatics.Journal of the American Medical Informatics Association : JAMIA · 2025Article
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4 authors.
Funding
Abstract
objectivesMissed and delayed cancer diagnoses are common, harmful, and often preventable. We previously validated a digital quality measure (dQM) of emergency presentation (EP) of lung cancer in 2 US health systems. This study aimed to apply the dQM to a new national electronic health record (EHR) database and examine demographic associations. MATERIALS AND
methodsWe applied the dQM (emergency encounter followed by new lung cancer diagnosis within 30 days) to Epic Cosmos, a deidentified database covering 184 million US patients. We examined dQM associations with sociodemographic factors.
resultsThe overall EP rate was 19.6%. EP rate was higher in Black vs White patients (24% vs 19%, P < .001) and patients with younger age, higher social vulnerability, lower-income ZIP code, and self-reported transport difficulties. DISCUSSION: We successfully applied a dQM based on cancer EP to the largest US EHR database.
conclusionThis dQM could be a marker for sociodemographic vulnerabilities in cancer diagnosis.
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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.