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Application of a digital quality measure for cancer diagnosis in Epic Cosmos. | LitMetric

AI Article Synopsis

  • * Results showed that the emergency presentation (EP) rate for lung cancer was 19.6%, with higher rates among Black patients and those with younger age, lower income, and transport difficulties.
  • * The findings suggest that the dQM can help identify sociodemographic factors related to vulnerabilities in cancer diagnosis, potentially helping to improve early detection strategies.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11648705PMC
http://dx.doi.org/10.1093/jamia/ocae253DOI Listing

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