🗄️ Health Data Infrastructure

Zlake

The standardized, FHIR-encoded health data lake for payers ingesting OPD and IPD data from every source, encoding to global standards, and powering analytics, compliance, and population intelligence.

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🔗 FHIR R4 Encoded 📊 Payer Analytics 🏥 OPD + IPD Data
Zlake · Data Ingestion Pipeline
// Raw OPD data ingested from provider → zlake.ingest("provider: Apollo Gurugram") records: 4,821 OPD encounters format: HL7 v2.5   // AI encodes to FHIR R4 + LOINC → zlake.encode_fhir() fhir_resources: 4,821 Encounter ✓ observations: 18,403 LOINC-mapped ✓ diagnoses: ICD-10 validated ✓ unmapped: 34 flagged for review   // Payer analytics query → zlake.query("diabetes_cohort Q1 2026") members: 1,204 identified avg_cost: ₹8,420 / member elapsed: 1.4s
100%FHIR R4 encoded on ingestion
1.4sAverage analytics query response time
OPD+IPDUnified data across care settings
ABDMCompliant & NHCX ready
Features

Interoperable health data,
ready for payer intelligence

🗄️

Unified OPD & IPD Data Ingestion

Ingests data from any source HL7 v2, FHIR, flat files, direct HMS integrations and normalises OPD and IPD encounters into a single, queryable data lake built for payers.

🔗

FHIR R4 + LOINC Encoding

Every record encoded to FHIR R4 standards with LOINC-mapped lab observations and ICD-10 diagnoses. AI handles ambiguous mappings with a human-review queue for edge cases.

📊

Payer Analytics Engine

Pre-built analytics modules for utilisation review, cost trend analysis, benefit burn rate, provider profiling, and cohort-level disease management queryable via dashboard or API.

👥

Population Health Intelligence

Identify high-risk member cohorts, predict future claims costs, and surface intervention opportunities before expensive events occur all from your own payer data.

🏛️

ABDM & Regulatory Compliance

Architected for ABDM compliance from day one. ABHA-linked records, consent-aware data access, and NHCX-ready data export for regulatory reporting and audit trails.

🔌

Open API & BI Integration

Connects to any BI tool (Power BI, Tableau, Superset) or internal analytics stack via FHIR-native APIs and SQL-compatible query layer no vendor lock-in.

How It Works

From fragmented provider data
to unified payer intelligence

Zlake connects to your provider network, ingests every encounter, and delivers a single, standards-encoded data lake that your analytics and compliance teams can actually use.

1
Connect Provider Sources

Zlake connects to provider HMS systems, NHCX feeds, and direct data transfers. Any format supported HL7 v2, FHIR, CSV, or proprietary with zero transformation effort from providers.

2
AI Encodes to Global Standards

Ingested records are automatically encoded to FHIR R4. Observations mapped to LOINC, diagnoses to ICD-10, procedures to CPT. Unmapped items flagged for review with suggested mappings.

3
Data Lake Built for Payer Use

Encoded records organised by member, episode, benefit category, and provider. Longitudinal member-level records built automatically across OPD and IPD encounters.

4
Analytics & Reporting Go Live

Pre-built dashboards, cohort queries, and ABDM compliance reports available immediately. API access for your analytics team from day one.

Health data analytics dashboard for payers
Impact

Structured data that actually
drives payer decisions

100%
Provider data encoded to FHIR R4 on ingestion no manual mapping
5x
Faster analytics query response vs traditional data warehouse approaches
360°
Member view across OPD and IPD care settings in a single data lake

Build your payer health
data foundation today

Book a demo and we'll show you how Zlake ingests your provider data and delivers queryable FHIR-encoded records in under 30 minutes.

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