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Building the Nation’s Interoperable Health Data Infrastructure

Why You Should Care

HHS is investing billions to modernize healthcare data, create a nationwide interoperable IT backbone, and operationalize AI across its agencies. From eliminating redundant patient intakes with a National Health Data Directory to deploying generative AI across FDA, HHS is reshaping how health data is managed, shared, and used to improve care. To succeed, HHS needs secure, cloud-scale platforms that integrate fragmented EHRs, claims, and public health data into unified, AI-ready systems.

Legacy Silos Threaten Nationwide Healthcare Transformation

Today, healthcare data is fragmented across EHRs, insurers, agencies, and public health databases. This creates inefficiencies, paperwork delays, and blind spots in patient care and regulation. HHS’s ambitious initiatives — from FHIR-based prior authorization APIs to FDA’s enterprise GenAI platform — demand infrastructure capable of handling massive, diverse datasets. Without robust architecture and governance, HHS risks delays, interoperability failures, and underutilized AI systems at a time when rapid modernization is mandated by both budget and policy.

WinterCorp Helps HHS Build Cloud-Scale, AI-Ready Health Platforms

Architect Interoperable Data Hubs

Design cloud-based platforms to unify EHRs, claims, and public health data into standardized, shareable systems aligned with TEFCA and FHIR standards.

Modernize Legacy Systems

Migrate and consolidate Medicare, Medicaid, and CDC data pipelines into modern cloud warehouses and lakes that support real-time analytics.

Scale AI Infrastructure

Build high-performance environments for FDA’s enterprise GenAI platform, AI-driven drug manufacturing, and public health analytics — ensuring secure, efficient model deployment.

Expertise in Government-Scale Health Data Modernization

  • Proven strategies for cloud-scale data integration across fragmented systems
  • Experience aligning governance frameworks with interoperability mandates (TEFCA, HTI-4, FHIR APIs)
  • Infrastructure planning to operationalize AI at enterprise scale across regulatory and public health use cases

With $14 billion earmarked for digital health infrastructure and a $94.7 billion discretionary budget proposed for FY26, HHS has both urgency and funding to act. WinterCorp can help ensure modernization efforts deliver on interoperability, efficiency, and AI-readiness nationwide.

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We work with all data platforms, including but not limited to:
Actian Avalanche, Amazon Redshift, ClickHouse, Cloudera, Databricks, Dremio, Druid, Exasol, Firebolt Cloud Data Warehouse, Google AlloyDB, Google BigQuery, Greenplum, Hitachi Vantara, IBM DB2, IBM Netezza, Iceberg, Kafka, Microsoft Fabric, MotherDuck, DuckDB, MySQL Heatwave, OpenText Vertica, Oracle Database, RightData, RocksDB, Snowflake, SQream, Starburst, StarRocks, Teradata, Trino, Yellowbrick.

Power HHS’s Mission to Modernize Healthcare Data Nationwide

WinterCorp partners with government and healthcare leaders to design interoperable, cloud-scale data platforms and AI-ready infrastructure that improve care, speed innovation, and enable secure data sharing across the healthcare ecosystem.