For research
Evaluate outcomes with governed data access.
Researchers and clinical informatics analysts study cohort metrics, AI-assisted care outcomes, and safety signals with clear governance boundaries.
The challenge
Evaluation data without clear governance
Built for researchers with aggregate access by default and explicit ethics boundaries.
Fragmented evaluation data
Outcome metrics for AI-assisted workflows sit across EHR exports, spreadsheets, and ad hoc queries with no consistent cohort view.
Unclear access boundaries
Ethics approvals and data access levels are hard to enforce when research tools bypass platform governance.
Slow export cycles
Getting authenticated evaluation exports for board papers or publication often means manual IT requests and delayed turnaround.
How we help
Governed research and evaluation
Cohort metrics, evaluation charts, and data access controls for clinical informatics research.
Cohort evaluation dashboards
Outcome metrics, evaluation charts, and study-level KPIs for AI-assisted care pathways across defined patient cohorts.
Governed data access
Aggregate access by default with explicit ethics reference tracking. Individual-level access requires governance sign-off.
Authenticated export
Download evaluation summaries as JSON authenticated to your researcher session for reproducible analysis workflows.
Equity and disparity analysis
EQUITY agent surfaces health disparities by IMD quintile and ethnicity for outcome studies and ICS reporting.
Safety signal monitoring
Track GUARDIAN and ORACLE outputs across cohorts with SHIELD audit trails for pharmacovigilance-style review.
Your workflow
From cohort definition to outcome evaluation
Four steps for researchers to define study scope, access governed data, evaluate outcomes, and monitor safety signals.
Define
Set cohort and ethics scope
Define study parameters, cohort inclusion criteria, and ethics reference boundaries before any data access is granted.
Access
Governed aggregate data
Access population-level metrics and evaluation dashboards with aggregate views by default and audit logging on every query.
Evaluate
Outcome analysis and export
Study AI-assisted care outcomes with cohort dashboards and authenticated JSON exports for reproducible analysis.
Monitor
Safety signal tracking
Track GUARDIAN and ORACLE outputs across cohorts with SHIELD audit trails for pharmacovigilance-style review.
Production research access requires ethics approval and governance sign-off.
AI agents
Agents for research and evaluation
Cohort analytics, equity analysis, and safety monitoring for clinical informatics research.
Population
EQUITY
Health disparity detection by IMD quintile and ethnicity for cohort outcome studies.
Risk
ORACLE
Cohort-level risk scoring and admission prediction for real-world evidence analysis.
Compliance
SHIELD
Immutable audit trail for data access, exports, and governance approvals.
Safety
GUARDIAN
Safety signal aggregation across cohorts for pharmacovigilance-style monitoring.
Human-in-the-loop. Always.
Every AI output is staged as a draft. The clinician clicks Accept, Edit, or Reject. Zero AI outputs are written to the FHIR record without explicit human approval.
Ready to get started?
Production research access requires ethics approval and governance sign-off.