Could smart alerts end the 'Diagnostic Overshadowing' that endangers disabled patients?

NCT ID NCT06608758

Recruiting now Knowledge-focused Sponsor: Rush University Medical Center Source: ClinicalTrials.gov ↗

First seen Aug 03, 2026 · Last updated Aug 06, 2026 · Updated 3 times

Summary

This study asks whether electronic health record prompts and targeted education can reduce diagnostic errors in people with disabilities. People with disabilities often have symptoms wrongly attributed to their disability, leading to missed or delayed diagnosis of serious conditions like sepsis or cancer. The trial will test these tools in a large group of patients aged 3 to 89, comparing outcomes for those with and without specific disabilities.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: Electronic health record prompts and educational programs for healthcare professionals
What this could lead to: If effective, this could lead to tools and training that help doctors spot serious conditions in people with disabilities, reducing missed or delayed diagnoses.
What could go wrong: The study is large but focuses on understanding and implementing interventions; success depends on whether prompts and education actually change clinician behavior and improve outcomes.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

DISABILITIES MULTIPLE

Contacts and locations

Locations

Rush University Medical Center
RECRUITING

Chicago, Illinois, 60612, United States

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