Healthcare Data Infrastructure Platform
A healthcare-native data platform designed to help teams ingest, understand, transform and move complex healthcare information.
The platform supported technical data workflows while aiming to make them usable for both highly technical and operational users.
Client identity withheld due to confidentiality.
Context — fragmented healthcare data
- Clinical systems
- Insurance systems
- Legacy databases
- EDI files & HL7 messages
- Nested JSON & spreadsheets
- Custom formats
- FHIR-based systems
The challenge — simplify complex processes
- Data ingestion & source connection
- File & layout understanding
- Mapping & transformation
- Profiling & validation
- De-identification & deduplication
- Pipeline execution & output
- Project & team administration
Users
- Data engineers
- Healthcare data teams
- Analysts
- Implementation specialists
- System administrators
- Project managers
- Compliance-related users
Core modules
- Projects & connectors
- Layouts & sublayouts
- Mapper & profiler
- Pipelines
- Writer / loading
- Dashboard
- Team management & administration
- Settings
Key capabilities
AI-driven auto mapping
Uses AI to help map fields across systems and reduce manual work.
Data pipeline
Supports extraction, transformation and loading workflows.
Profiler
Analyses data structure and quality.
De-identification & re-identification
Removes personal identifiers while preserving integrity, with controlled re-identification where permitted.
Deduplication & FHIR conversion
Identifies duplicate records and transforms information into healthcare interoperability formats.
Design approach
Visual workflow
Complex pipelines should be visually understandable.
Progressive technical detail
Users should see enough to decide without being overwhelmed.
Clear validation
Errors, warnings and quality issues should be visible and actionable.
Project-based organisation
Workflows organised into projects with clear ownership and status.
Complexity
- Healthcare data standards
- Sensitive information
- Technical & operational users
- Multi-step pipelines
- Low-code workflow design
- Multi-tenant architecture
- Data quality & privacy requirements
What this project demonstrates
Selected project details have been anonymized due to client confidentiality. No client names, logos or private information are shown.
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