BrainCheck Population Analytics

Find the patients your current workflows are missing by turning EHR data into a prioritized, ready-to-use patient registry.

What It Does

BrainCheck Population Analytics analyzes your existing EHR data and sorts your population into three groups:

  • Diagnosed: Patients with a documented dementia diagnosis on file
  • Elevated Signal: Patients whose records show data patterns associated with elevated cognitive risk
  • Moderate Signal: Patients whose records show patterns associated with moderate risk

Each prioritized patient record includes the structured EHR data elements and research-derived analytic criteria supporting its inclusion, enabling clinicians to independently evaluate the basis for prioritization. The registry organizes information for review to provide a starting point, not a verdict. 

 

Organizations Receive

  • Executive Population Analytics Dashboard

  • Prioritized patient registry

  • Secure patient outreach file

  • Biomarker opportunity analysis

  • Executive summary of findings

  • Executive clinical review

     

BrainCheck Population Analytics

Grounded in Published Research

Built on published research analyzing over 153 million patient records across two independent datasets, identifying reproducible phenotypes that precede an Alzheimer's diagnosis.

Paired with a second externally validated methodology, eRADAR, shown in published research to identify previously undiagnosed dementia in large real-world health systems.

The result: a registry grounded in documented, peer-reviewed patterns, not guesswork.

BrainCheck does not diagnose. The assessment surfaces patterns for your team's review.

 

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How it Works

1. Secure data extraction

Send a structured data extract from your EHR. De-identified or fully identified, your choice.

2. Signal analysis

Every record is reviewed against data patterns drawn from published research.

3. Prioritized registry and dashboard

Receive a patient-level outreach file, an executive dashboard, and a written summary.

4. Executive review

Our clinical team walks your leadership through the results and next steps.

Want to learn more?

A new, more proactive cognitive care journey for your patients.

Your questions, answered.

Key things to know and discover about BrainCheck Population Analytics.

For additional FAQs, check out here.

Does BrainCheck Population Analytics diagnose dementia or cognitive impairment?

No. BrainCheck does not diagnose any condition. The assessment identifies research-derived data patterns present within structured EHR records to surface patients who may warrant a closer look. All evaluation, assessment, and diagnostic decisions remain with your clinicians.

Do we have to share identifiable patient information?

No. Most clients start with a de-identified extract. BrainCheck returns a signal-based list, and your team re-identifies and coordinates outreach internally. A direct workflow is available for clients who prefer it.No. Most clients start with a de-identified extract. BrainCheck returns a signal-based list, and your team re-identifies and coordinates outreach internally. A direct workflow is available for clients who prefer it.

How current does our data need to be?

We recommend the last 24 months of encounter and diagnosis history, with 12 months as a minimum.

How is BrainCheck Population Analytics different from a standard EHR risk flag?

Standard flags typically rely on one or two data points. Our model draws on a much wider set of clinical markers, developed from published research spanning millions of patient records, to produce a signal-based, population-wide view rather than a single alert. The output is a prioritization tool for your team, not a diagnostic tool.

Can clinicians see why a patient was prioritized?

Yes. Each prioritized patient record includes the structured EHR data elements and research-derived analytic criteria that contributed to its inclusion. The registry is intended solely to organize information for clinician review and does not indicate that a patient has, is likely to have, or will develop any medical condition. Clinicians independently evaluate the underlying information before determining whether additional evaluation or follow-up is appropriate.