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

NCT ID NCT07723950

Knowledge-focused Sponsor: Eisai Inc. Source: ClinicalTrials.gov ↗

What the study statuses mean

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Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting This study
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

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.

Study facts

What this study's own registry entry says, in plain language.

Participants

About 600 people

The number the study aims to enrol. It can still change while the study runs.

Expected to start

Jul 2026

An estimate. Start dates often move.

Expected to finish

Dec 2026

An estimate. End dates often move.

Lead sponsor

A company

The lead sponsor is a pharmaceutical, biotech, or medical-device company.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

The study includes participants with at least one Alzheimer's disease diagnosis in claims data from January 2016 to July 2025 (or the latest available data).

Ages

Children (under 18), adults (18 to 64) and older adults (65 and over)

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * Before or on the outcome event date, have at least 1 ICD-10-CM diagnosis code for AD in medical claims in an inpatient setting; or have at least 2 ICD-10-CM diagnosis codes in medical claims in an outpatient setting, at least 7 days and less than 365 days apart * Have at least 365 days of continuous coverage with medical and pharmacy benefits before the outcome event date * Have EHR data available for (1) the outcome event date or (2) during the period of up to 30 days before and up to 90 days after the outcome event date * Have unstructured EHR information (ie, clinical notes) available for any encounter (1) on the outcome event date or (2) during the period of 30 days before to up to 45 days after the outcome event date Exclusion Criteria: * New-onset seizure outcome only: Have any ICD-10-CM diagnosis code for seizure or epilepsy before the outcome event date

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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.

How to take part

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  1. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

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  2. A doctor treating you

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