Trust begins before the first conversation.
Empowering your health · Empowering your life
Empowering your health · Empowering your life
Scoped activation · Talk with our team
Turn a population question into a definition your team can inspect, compare and validate.
Population research · Clinical operations · Study feasibility

THE HIDDEN COST
A spreadsheet can hide inconsistent criteria, missing data and an outdated patient list. Rebuilding the same population wastes time and makes comparisons harder to trust.
Start by identifying the rework, handoffs and review steps in your own operation—not by assuming a guaranteed return.

THE WORK BEHIND THE EXPERIENCE
Turn eligibility ideas into explicit criteria. Explore how to compare cohort definitions, inspect assumptions and agree what the data can actually support.
Reviewable inclusion and exclusion rules
Comparison of population definitions
Data readiness before interpretation
Cohorts
Work from explicit definitions and validation steps, then plan permitted use in research or trials. A cohort is a governed research object, not a list to contact without permission.
ONE PLATFORM DIRECTION
The platform roadmap brings tenancy, identity, consent, audit, integrations and version control into a shared foundation. Your implementation starts with the capabilities and controls verified for your project.
Daily healthcare operations, patients and teams.
Research questions, evidence and scientific workflows.
Controlled extensions, testing and release requests.
START WITH ONE REAL WORKFLOW
Bring a current process, the systems it touches and the people who use it. Together we can define a realistic pilot, its boundaries and what success would mean.
Plan my implementationCohorts
A practical starting point—not a one-size-fits-all promise.
Describe the population and the purpose of the analysis.
Review proposed criteria, available fields and data permissions.
Validate the definition with the research team before execution.

Cohorts
Bring your population criteria, field dictionary and authorized data-source description—not live patient records to a demo.
Definitions are not validated patient counts or study outcomes. Execution depends on authorized datasets and approved analytical methods.
Definitions are not validated patient counts or study outcomes. Execution depends on authorized datasets and approved analytical methods.
Results depend on available data and definition quality. Consent, lawful access and authorized outreach must be checked separately.
Availability and scope are confirmed during assessment. No automatic regulatory certification, guaranteed savings or clinical outcomes are implied.
We first review your use case, current module readiness, data permissions and integrations. Activation follows an agreed scope; a landing page is not a promise of unrestricted production access.
Pricing depends on scope, users, data preparation, integrations, infrastructure, AI usage and implementation support. Ask for a proposal that separates setup, recurring charges and third-party costs.
Not necessarily. We assess coexistence, supported APIs and migration needs before proposing a change. Bring your current systems to the consultation.
Cohorts
Choose an available appointment with the Vitales team. This is a project discussion, not medical advice or trial enrollment.
Ideas that inspire. Connections that transform health.
Loading Instagram posts…