The Problem
Managing health records safely is one of the toughest data problems for organisations:
Electronic health records (EHRs) contain highly sensitive personal data
Regulatory frameworks like GDPR, HIPAA, and medical privacy laws restrict how patient data can be accessed, shared, and used
AI and analytics can accelerate healthcare insights but traditional approaches expose identifiable information
Manual review, de-identification, and governance are expensive and error-prone
The MAYA Approach
Secure, Compliant Health Record Management with MAYA
MAYA transforms how healthcare organisations and enterprises work with health record data at scale — delivering privacy protection without sacrificing data utility.
Governed under enterprise controls
Privacy-safe by design and default
Usable for analytics, reporting, and AI
How It Works
How MAYA Secures Training Data
01
Secure Data Ingestion
Health records are brought into MAYA from EHR systems, data warehouses, imaging repositories, or research databases without direct exposure to identifiable data.
02
Sensitive Attribute Detection
MAYA automatically identifies personal identifiers, protected health attributes, and regulated fields across structured and unstructured records.
03
Privacy-Enhancing Transformation
Sophisticated anonymisation, pseudonymisation, tokenisation, and pattern-preserving transformations make the data safe for downstream use while preserving analytical meaning.
04
AI & Analytics Ready
Sanitised health data becomes safe to use with analytics platforms, machine learning models, and BI tools — either on-premises or in secure cloud environments.
05
Enterprise Governance & Control
All access, transformation policies, and usage reviews are controlled under enterprise governance with full audit trails.
Business Benefits
Privacy by Design
Regulatory Confidence
Reduce Cost & Time
AI Ready
Ready to Build Responsible AI?
Speak to a Maya expert to see how we can help your team deliver smarter, safer AI with confidence