Convert Healthcare Data to FHIR—At Any Scale

HiPaaS analyzes, cleans, maps, converts, validates and loads healthcare data into any FHIR repository, data platform or data lake.

From large historical data migrations to real-time clinical and payer feeds, our healthcare data experts manage the complete conversion process—faster and at a lower cost than building and maintaining custom conversion pipelines.

End-to-End FHIR Conversion

More Than Data Mapping

HiPaaS takes responsibility for the complete healthcare data-conversion lifecycle.

1

Data Discovery and Analysis

Analyze source systems, data structures, volumes, relationships, dependencies and business use cases.

2

Data Quality Assessment

Identify missing data, invalid values, duplicate records, inconsistent codes and incomplete patient or provider information.

3

Business Requirements

Define required FHIR resources, profiles, transformations, validation rules, terminology mappings and target-system requirements.

4

Mapping and Conversion

Map legacy healthcare data into standardized FHIR resources using reusable healthcare mappings and AI-assisted analysis.

5

Validation and Reconciliation

Validate FHIR structure, business rules, record counts, referential integrity and source-to-target accuracy.

6

Loading and Operationalization

Load converted data into the target FHIR repository, data lake or analytics platform and support ongoing batch and real-time feeds.

Healthcare Data Expertise

We Understand the Data Behind Healthcare

Our teams work with payer, provider, clinical, imaging and administrative healthcare data.

Source systems and formats
QNXT and Facets Claims, encounters and membership data Provider and network data Utilization management and prior authorization X12 EDI transactions HL7 v2 messages C-CDA and clinical documents DICOM and imaging metadata CSV, JSON, XML and database extracts APIs and real-time event streams
Built for High-Volume Healthcare Data

Convert Historical Data and Real-Time Feeds

Large-Scale Data Migration

Convert millions of historical healthcare records through secure, repeatable and monitored bulk-processing pipelines.

Batch Data Conversion

Process scheduled claims, membership, provider, clinical and operational data feeds.

Real-Time Conversion

Transform HL7, EDI, API and event-stream data into FHIR as information moves between healthcare systems.

Continuous Data Quality

Monitor incoming data, identify conversion failures, manage exceptions and maintain source-to-target reconciliation.

Load Data Where You Need It

One Conversion Layer. Multiple Destinations.

HiPaaS can deliver standardized healthcare data into:

Enterprise FHIR servers and repositories Azure Health Data Services Microsoft Fabric and Azure Data Lake Databricks and Data Lake AWS healthcare and data-lake environments Snowflake and cloud data platforms Clinical data repositories Analytics and AI platforms Custom applications and APIs

We adapt the FHIR output, storage model and loading process to your target architecture and business requirements.

AI-Accelerated, Expert-Validated

Use AI to Analyze and Convert Data Faster

HiPaaS uses AI to accelerate:

Source-data profiling Field and resource mapping Schema and relationship discovery Data-quality analysis Business-rule identification Terminology and code mapping Conversion exception analysis Mapping documentation

Every mapping, transformation and validation rule remains reviewable, governed and tested by healthcare data and FHIR experts.