AI Data Preparation
Build Trusted, Interoperable, and AI-Ready Healthcare Data
We transform fragmented clinical, claims, and operational sources into standardized, governed, and reusable data products for enterprise AI.
From ingestion and mapping to quality and lineage, we create a production foundation for Medical LLMs, predictive models, and automation.
Why It Matters
Healthcare AI fails when data pipelines stay fragmented
Most teams have data access, but not dependable data quality. AI data preparation closes that gap and reduces production risk.
Disparate source systems and coding standards
EHR, claims, and documentation pipelines are rarely aligned.
Weak quality loops and inconsistent records
Incomplete data and drift directly reduce model accuracy.
Compliance and lineage pressures at scale
Healthcare AI requires policy controls and traceable datasets.
What You Get
A preparation layer built for speed, safety, and reuse
FHIR-ready canonical models for downstream interoperability and AI.
Automated quality checks, anomaly detection, and scorecards.
Policy-driven security, masking, and role-based access controls.
Production-ready datasets for Medical LLMs and analytics models.
Architecture Flow
AI Data Preparation Reference Architecture
A connected workflow from source ingestion to governed, AI-ready delivery.
Source Intake
EHR, claims, UM, and document connectors.
Normalization
Terminology and schema harmonization.
Quality Rules
Validation, deduplication, anomaly detection.
FHIR Mapping
R4 resource-level modeling and API readiness.
Governed Delivery
Lineage, access controls, and policy enforcement.
Core Functions
Core AI Data Preparation Capabilities
Modular services designed for reliable and compliant healthcare AI delivery.
Readiness Assessment
Quality, interoperability maturity, and AI readiness baselining.
Ingestion & Transformation
Scalable batch and near-real-time pipeline engineering.
FHIR Mapping
FHIR R4 and USCDI alignment for reusable AI datasets.
Quality Automation
Rule engines, scoring, and exception monitoring.
Governance & Security
Lineage, RBAC, PHI masking, and policy controls.
AI-Ready Delivery
Curated outputs for Medical LLM and predictive workloads.
Integrated Stack
How AI Data Preparation Powers Other D4H Solutions
Data readiness is the baseline for every interoperability and AI automation program.
Medical Language Models
Cleaner context for summarization, retrieval, and Q&A.
End-to-End Interoperability
FHIR-ready exchange across payer and provider systems.
AI-Driven Insights
Higher confidence predictive and operational analytics.
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