Mining medical claims: a smarter way to spot Alzheimer's complications?

NCT ID NCT07723950

Not yet recruiting Knowledge-focused Sponsor: Eisai Inc. Source: ClinicalTrials.gov ↗

First seen Jul 23, 2026 · Last updated Jul 24, 2026 · Updated 1 time

Summary

This study looks at whether insurance claims data can be used to reliably identify two serious complications in people with Alzheimer's disease: brain hemorrhages larger than 1 cm and new-onset seizures. Researchers will analyze records from 600 Alzheimer's patients, linking insurance claims with electronic health records to develop and test detection algorithms. The goal is to improve monitoring and care for Alzheimer's patients without requiring additional tests.

What this could mean

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

What this could lead to: If successful, this could improve how doctors detect serious complications like brain bleeds and seizures in Alzheimer's patients using existing insurance records.
What could go wrong: This is an observational study using historical data, not a treatment trial. The algorithms may not be accurate enough for real-world use.

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

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Conditions

The condition(s) this trial relates to.

Alzheimer disease intracerebral hemorrhage visual epilepsy

As listed by the trial registrant

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

ALZHEIMER'S DISEASE

Contacts and locations

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Study contacts

Contact

Phone: •••-•••-•••• Email: •••••@•••••

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