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IBM Healthcare United States

Center for BrainHealth

Real-time Analytics

The Center for BrainHealth needed to scale a longitudinal neuroscience study beyond manual, three-hour intake sessions and local high-touch processes without reducing participant engagement or scientific rigor.

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65 countries
90% workload reduction
Over 35 thousand participants to date
over 100 thousand participants

Reported impact

Business outcome

The Center for BrainHealth dramatically reduced workload, expanded global reach and turned a local, manual research process into a scalable digital platform that now supports tens of thousands of participants.

  • Productivity Improvement
  • Scalability

Solution

The Center for BrainHealth partnered with Dialexa, an IBM Company, to create a digital participant platform for The BrainHealth Project. Dialexa used design research, interviews and workshops to define the user journey, then built a data platform and portal hosted on AWS Cloud that lets participants enroll remotely, complete assessments, consume digital offerings and receive personalized recommendations and reports. Machine-learning algorithms were developed with the center's statisticians to perform initial assessments and support The BrainHealth Index, while the broader platform tracks participant progress and manages the information exchange needed to keep people engaged over time. In practice, the solution replaces a location-bound manual intake model with a scalable digital operating layer for neuroscience research, pairing product engineering, data management and algorithmic assessment in one participant-friendly experience that supports both scientific analysis and future commercialization.

Data flow

Participants enroll remotely through the portal, complete digital assessments that feed the platform's data layer, machine-learning algorithms generate initial assessments and BrainHealth Index measures, and personalized recommendations and progress tracking are returned through the user portal.

Solution architecture

2 components · 2 layers
  1. Serving
    • AWS Cloud Hosts the BrainHealth data platform and participant portal used for enrollment, assessments and personalized reports.
  2. Orchestration
    • Dialexa, an IBM Company Designed and engineered the digital product, participant portal and machine-learning assessment workflow for The BrainHealth Project.

Architecture clues

  • Custom machine-learning algorithms were developed jointly with Center for BrainHealth statisticians.
  • The platform was hosted on AWS Cloud even though Dialexa, an IBM Company, led the product engineering engagement.
  • The solution evolved from a data platform into a participant-facing portal with personalized reports and progress tracking.

Evidence from the source

90% workload reduction
Dialexa, an IBM Company
Over 35 thousand participants to date
The team developed and tested a series of science-based brain training tactics and techniques
Transparency Evidence & methodology 90/100 reference value · 89% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value90/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth25/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact15/25
    1 metric describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence89%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    4 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. IBM

    Center for BrainHealth customer story

    First-party
    https://www.ibm.com/case-studies/center-for-brainhealth
    Source type
    Vendor-published customer story
    Published
    Feb 27, 2025
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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