Cyntegrity’s MyRBQM® Portal has been officially recognized as Microsoft-Certified Healthcare AI. This certification reflects not only technical excellence, but also a strong commitment to ethically grounded, validated, and compliant AI supporting clinical research teams worldwide.
It means study teams can rely on MyRBQM® Portal to support decisions transparently, consistently, and in line with modern expectations for trustworthy and explainable AI.
Clinical development increasingly depends on digital oversight and data-driven decisions. Yet trust in AI requires evidence — not claims.
The Microsoft Healthcare AI Certification confirms that:
In short:
You can rely on what the system shows you and how it got there.
Capability Introduced
ML-based predictive analytics
Purpose
Earlier trend recognition beyond manual review
Capability Introduced
Portfolio-wide study metric forecasting
Purpose
Scalable oversight across multiple compounds
Capability Introduced
AI-supported risk assessments & inspection readiness
Purpose
Increased transparency and decision traceability
Capability Introduced
AI-assisted protocol complexity analysis & Protocol Deviation Detection
Purpose
Reduce preventable study burden before activation and identify deviation-prone patterns early in execution
Capability Introduced
AI-enhanced medical monitoring workflows
Purpose
Faster interpretation of patient-level safety and efficacy signals
Cyntegrity applies a governance-first model:
This approach aligns with the “human in control” principles reflected in EMA, FDA and ICH guidance — including ICH E6(R3)’s emphasis on explainability in risk-based oversight.
The Microsoft Healthcare AI Certification strengthens what MyRBQM® Portal already represented:
A trusted, validated, and inspection-ready foundation for AI-Augmented RBQM and medical monitoring.
It’s not about automating judgment — it’s about supporting better, clearer, earlier decisions.
Experience how AI-augmented oversight supports earlier signal detection, clearer decision rationale, and consistent interpretation — in line with ICH E6(R3) expectations.
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