Microsoft-Certified AI in Healthcare

MyRBQM® Portal is now Microsoft-Certified Healthcare AI. Learn how this strengthens trust, validation, and transparency in AI-supported clinical oversight.

Microsoft-Certified AI in Healthcare

MyRBQM® Portal is now Microsoft-Certified Healthcare AI. Learn how this strengthens trust, validation, and transparency in AI-supported clinical oversight.
Cyntegrity logo – Risk-Based Quality Management Solutions

MyRBQM® Portal is Now Microsoft-Certified Healthcare AI

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.

Why This Certification Matters

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: 

  • The AI models in MyRBQM® Portal meet independent validation standards 
  • Data handling complies with strict security and privacy requirements 
  • Models undergo ongoing bias evaluation and performance verification 
  • System behavior is auditable and explainable, not “black box” 

In short: 
You can rely on what the system shows you and how it got there. 

A Timeline of AI Innovation at Cyntegrity

2017

Capability Introduced

ML-based predictive analytics

Purpose

Earlier trend recognition beyond manual review 

2020

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 

2023

This progression reflects a steady, methodical, evidence-based AI journey — not hype.

2025

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 

2024

Capability Introduced

AI-enhanced medical monitoring workflows 

Purpose

Faster interpretation of patient-level safety and efficacy signals 

Ethical AI as a Foundational Principle

Cyntegrity applies a governance-first model: 

 

  • AI suggestions are always reviewable by humans 
  • Data provenance is fully traceable 
  • The system explains why a signal is highlighted 
  • We actively evaluate models for bias and unintended impact 

 

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.

See MyRBQM® Portal in Action

Experience how AI-augmented oversight supports earlier signal detection, clearer decision rationale, and consistent interpretation — in line with ICH E6(R3) expectations.

Stay Informed with Us

Service Level Availability – SLA

Service Level Availability or “SLA” means the targeted availability levels measured in the Production environment, as specified in the SaaS Listing which may vary according to each SaaS Offering and its component capabilities....

AI Literacy in Clinical Trials Under ICH E6(R3)

AI-supported workflows in clinical trials increasingly fall within GCP, computerized system, data integrity, and AI governance expectations. Sponsors and CROs need teams that understand oversight, validation, accountability, and responsible AI use....

Media Inquiries

Need a quote, speaker, or more info about Cyntegrity? Reach out directly to our media contact for timely assistance.

Microsoft-Certified Healthcare AI

Microsoft-Certified Healthcare AI

AI Use in Clinical Trials Is Increasing.
So Are Regulatory Expectations.

Regulators expect controlled, documented, and reviewable AI use. Prepare your teams to apply AI within GCP and computerized system requirements.