Algorithm could spot hidden dementia in routine doctor visits

NCT ID NCT05356702

First seen Jul 06, 2026 · Last updated Jul 07, 2026 · Updated 1 time

Summary

This study tests a simple, low-cost method to find undiagnosed dementia in older adults during routine primary care. Researchers use an algorithm (eRADAR) that scans electronic health records to identify people who may have dementia but haven't been diagnosed. Those flagged are offered a brief in-person brain health assessment. The goal is to see if this approach increases new dementia diagnoses and helps catch the condition earlier.

What this could mean

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

Active substance
eRADAR algorithm (electronic health record screening tool) and Brain Health Assessment (cognitive screening by health practitioners)
What this could lead to
If successful, this approach could enable widespread, low-cost dementia screening in primary care, catching cases earlier and improving patient outcomes.
What could go wrong
The algorithm may miss some cases or lead to false positives, and the study is testing detection, not treatment—so earlier diagnosis alone may not improve health without effective therapies.

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Conditions

The condition(s) this trial relates to.

As listed by the trial registrant

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

Contacts and locations

Locations

  • Kaiser Permanente Burien Medical Center

    Burien, Washington, 98166, United States

  • Kaiser Permanente Kent Medical Center

    Kent, Washington, 98030, United States

  • Kaiser Permanente Northgate Medical Center

    Seattle, Washington, 98115, United States

  • Kaiser Permanente Renton Medical Center

    Renton, Washington, 98056, United States

  • Kaiser Permanente, Capitol Hill

    Seattle, Washington, 98112, United States

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