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
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Locations
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Kaiser Permanente Burien Medical Center
Burien, Washington, 98166, United States
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Kaiser Permanente Kent Medical Center
Kent, Washington, 98030, United States
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Kaiser Permanente Northgate Medical Center
Seattle, Washington, 98115, United States
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Kaiser Permanente Renton Medical Center
Renton, Washington, 98056, United States
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Kaiser Permanente, Capitol Hill
Seattle, Washington, 98112, United States
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