AI-Powered Healthcare Data Integration
Automates end-to-end ETL from raw to curated, standardized data in any target format — with master data management, quality checks, de-duplication, and FHIR-based CMS compliance. Deploy any combination of components, on cloud or on-premises.
AI-powered end-to-end healthcare data integration — from any source to FHIR, in weeks.
Book a demoData Sources
01- Database Systems
- Payer Portals
- CSV / Flat Files
- HL7 / EDI Feeds
- REST APIs
ArghaHealth Platform
02- FHIR R4 Conversion
- Data Validation
- Real-Time Monitoring
- Security & Compliance
- Data Transformation
Outputs
03- FHIR R4 APIs
- Data Warehouses
- Analytics Platforms
- Client-Specific Platforms
- Payer Systems
Chat with AI
Build, change and fix it by asking
An assistant that lives inside your workspace. It already knows your layouts, mappings and pipelines — and it can act on them.
- 01
Build it by asking
Create a mapping, a pipeline or a layout in plain language. The assistant writes the configuration and shows you what it changed.
- 02
Debug a failed run
Ask why last night's run broke and get back the records that caused it, not a stack trace to read through.
- 03
Start from a file
Drop in a sample and it extracts the layout, then maps it to FHIR R4 for your team to confirm.
- 04
Ask how any of it works
It explains any layout, mapping or pipeline in your workspace, so nobody is deciphering someone else's config alone.
The problem
Healthcare data is broken, and it’s costing you.
- 01
Manual ETL
armies of engineers hand-mapping fields
- 02
FHIR pressure
mandates are live now; non-compliance means fines
- 03
Zero visibility
no real-time pipeline monitoring or alerts
- 04
Mapping Complexity
FHIR is complex, and mapping to it is even more so
Why ArghaHealth
Our Features
ArghaHealth is designed to revolutionize how healthcare data is integrated and how insights are analysed
AI-Driven Mapping
Our LLM-trained schema detection learns your data, complex, non-standard, or legacy, and maps it automatically, with confidence scores on every field.
Any Source → Any Target
HL7, FHIR, CSV, EDI, REST APIs, ingest everything. Deliver to any downstream target without rebuilding pipelines.
Compliance Built-In
FHIR R4, HIPAA, and CMS mandate alignment out of the box. Stop worrying about the next regulatory deadline.
Full Observability
Real-time dashboards and alerts give every stakeholder instant pipeline visibility, no more chasing status updates.
A Self-Learning Technical Moat
Every integration makes the mapping engine smarter. The more sources you connect, the faster the next one gets mapped.
Who we serve
Built for the healthcare data ecosystem
HealthTech Intermediaries
- Eliminate manual ETL between payers & providers
- Cut client onboarding from months to weeks
- Handle any non-standard layout automatically
Insurance Companies & Payers
- CMS FHIR mandate compliance — out of the box
- Prior auth data exchange in real time
- Unified view of member data across systems
TPAs & Brokers
- Seamless multi-client data ingestion
- Low-code setup — no dedicated IT team needed
- Role-based monitoring for every client
Process
How it works
Four steps from raw source systems to audit-ready, standardised healthcare data
Multi-Source Ingestion
Connect payer portals, CSV feeds, HL7 streams, and APIs — all in one platform. Low-code connectors mean no bespoke pipeline work to get started.
AI-Driven Mapping
The LLM field mapper learns your schema and proposes a mapping to your target format automatically, with confidence scores your team confirms once.
Data Transformation & Validation
Every record is converted into FHIR R4 and run through integrated checks, with conflicts resolved and compliance confirmed before anything is published.
Real-Time Monitoring
Standardized data lands in FHIR, CMS submissions, and analytics, with live dashboards, pipeline alerts, and role-based access for every stakeholder.
Implementation timeline
Live in weeks, not quarters.
From the first connection to a production FHIR pipeline, four milestones and roughly a month.
- 01
Connect sources
Secure connectors go live against your EHR, claims, lab, and payer feeds.
- 02
AI schema mapping
The mapper profiles every field and proposes a target mapping your team confirms once.
- 03
Data Transformation & Validation
Each record is converted to FHIR R4, then validated against the conflict rules.
- 04
Production pipeline
The feed runs in production with live dashboards, alerts, and a full audit trail.
Results
Our Results
What healthcare organizations measure after moving their data onto ArghaHealth
Improved Data Accuracy
Integrated validation and AI confidence scoring catch mapping errors instantly, keeping every downstream system on consistently reliable data.
Increased Onboarding Efficiency
Automated schema detection and built-in FHIR R4 compliance turn client onboarding from a drawn-out project into a routine step.
Cost Savings
AI-automated mapping replaces hand-built ETL, taking most of the engineering effort and the cost out of every client integration.
Contact
Talk to our team
Tell us about your data estate and we will show you what standardisation looks like for your organization
What happens next
- 01
Technical Demo
Thirty minutes with an engineer, walking the mapper and validators against live feeds.
- 02
Data Sample Ingestion
Send a de-identified sample and we map it to your target format — your data, not a demo set.
- 03
30-Day Pilot
Run one real source end to end in your environment, dashboards and alerts included.