Modern Data Governance for Healthcare

Modern, Scalable, AI Powered & Consolidated Data Governance Throughout Data Life Cycle of Heterogenous Systems.

Leveraging innovative AI technologies, Praxi automates data governance by uniquely integrating NPL, Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to provide a scalable, container-based solution on premise or in the cloud. Praxi provides heterogeneous data environments with AI powered curation to empower data stewardship and management tasks.

Control, Context and Compliance - Built In

In healthcare, where regulatory oversight and data complexity intersect, modern data governance is not a luxury - it’s foundational. Praxi’s AI-powered governance platform offers end-to-end control across structured, semi-structured and unstructured data, enabling healthcare CDOs to confidently manage data products, sustain compliance and enforce policy at scale.

Unlike rigid rule-based systems, Praxi brings adaptive intelligence to governance workflows. With built-in support for HL7, FHIR, MHS CDM and VAULTIS standards, our platform harmonizes metadata, profiles data assets in place and classifies sensitive or derivative objects using continuously updated domain-specific models. The result: audit-ready metadata, operational transparency and governance without compromise.

> Our Capabilities

AI-Powered Governance That Adapts As You Scale

From ingestion to stewardship, Praxi offers an enterprise-grade foundation for data governance that is both rigorous and responsive. Deployed in secure containerized environments - on-prem, hybrid or in AWS GovCloud - our architecture is built for modern DevSecOps and CI/CD lifecycles, aligning seamlessly with DHA and MIP governance frameworks.

Security-First Deployment Architecture

  • Scalable containerized runtime with zero source data retention

  • CI/CD-ready lifecycle with audit logging and rollback controls

  • RBAC and ABAC policy enforcement based on dynamic classification

AI Data Stewardship & Profiling

  • Enterprise-wide profiling with 30+ statistical measures

  • Dynamic classification of clinical and operational data

  • Intelligent label syncing across domains with incident escalation via AWS CloudWatch

Metadata Harmonization & Governance Flow Control

  • Policy-driven integration of metadata across systems like CHCS, AHLTA, MHS GENESIS

  • Version-controlled governance flows with full lineage

  • Real-time reconciliation of data quality, context and access control attributes

FHIR Compliance, Built Into the Core

FHIR (Fast Healthcare Interoperability Resources) is a widely adopted standard that defines how healthcare information is structured and exchanged between systems. It enables seamless communication between electronic health record (EHR) systems, medical applications, and healthcare providers - ensuring that data remains both interoperable and actionable across platforms.

Praxi.ai natively supports and enforces FHIR profiles within its governance workflows. By harmonizing metadata and applying consistent data labels and quality rules, Praxi enables introspective matching across diverse systems - ensuring FHIR-aligned data remains validated, governed, and secure. Sensitive patient data is never stored, only metadata is persisted, and all access is logged and policy-controlled - helping healthcare organizations maintain FHIR compliance without compromising speed, scale, or security.

Retrieval-Augmented Governance for Operational Clarity

Praxi leverages fine-tuned LLMs and Retrieval-Augmented Generation (RAG) to generate contextual governance insights on demand. Unified search across disparate sources surfaces validated answers, policy-relevant metadata and readiness summaries - enabling CDOs to shift from reactive data wrangling to proactive oversight.

  • Pre-trained on MHS-aligned ontologies and clinical terms

  • Auto-summarization of compliance risks and data quality issues

  • Shareable knowledge base that evolves with your data landscape

Key Capabilities at a Glance

  • Governance-first CI/CD pipeline with DevSecOps integration

  • FedRAMP High-ready deployment via AWS GovCloud (NIST 800-53 compliant)

  • Real-time data quality tracking and context assurance

  • Immutable data product metadata for AI/ML audit readiness

  • Bidirectional label and synonym synchronization with governance filters

Praxi enables secure, policy-driven integration of metadata and governance attributes across MHS platforms, including CHCS, AHLTA and MHS GENESIS. Metadata flows are validated and version-controlled, ensuring fast and safe integration into downstream products. All integrations are deployable via CI/CD in AWS GovCloud, logged for audit and subject to DHA governance policies.

Why Healthcare CDOs Choose Praxi.ai

With operational maturity (TRL 8) and a track record across other key projects, Praxi is not just governance-ready - it’s mission-proven. Our AI/ML stack is fine-tuned on clinical and operational vocabularies, built with a secure metadata-first design and backed by a 2+ year roadmap aligned with the AWS GovCloud - specifically designed to meet the stringent compliance and security requirements of U.S. government agencies and their partners.

Ready to Elevate Governance From a Bottleneck to a Strategic Asset?

Book a 1:1 walkthrough with our healthcare data governance specialists.
See how Praxi turns governance into a secure, automated and compliant advantage.