Abstract
Objectives: Missed 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 Methods: We 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. Results: The 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. Conclusion: This dQM could be a marker for sociodemographic vulnerabilities in cancer diagnosis.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 227-229 |
| Number of pages | 3 |
| Journal | Journal of the American Medical Informatics Association |
| Volume | 32 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 1 2025 |
Keywords
- digital quality measure
- electronic health record
- patient safety
- social determinants of health
ASJC Scopus subject areas
- Health Informatics
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