Healthcare Data Platform

From any source to clinical intelligence. Config-driven. AI-powered.

Every hospital stores data differently. DataCloud connects to any source system -- HIS, EMR, lab, pharmacy, billing, existing databases -- unifies patient identities, detects care gaps, and powers campaigns, AI agents, and real-time APIs. No pipeline code. All configuration.

0+
Hospital data formats ingested and mapped
<0h
New hospital data onboarding, end to end
0+
Care gap definitions across 30+ conditions
0
Lines of pipeline code per hospital

End-to-End Pipeline Architecture

Every layer is config-driven. Data flows from raw hospital systems through identity resolution, clinical modeling, intelligence computation, and downstream activation. Zero pipeline code.

Data Sources
HIS / EMR
Any hospital system
ERP / Billing
Financial operations
Lab / PACS
Diagnostics and imaging
Pharmacy / Claims
Drug and payer data
Ingestion & Onboarding
Schema Detection
Auto-maps new sources
Change Tracking
Incremental processing
Clinical Transforms
Code normalization
Columnar Storage
Optimized for analytics
Identity & MDM
Noise Filtering
Invalid data removed
Deterministic Resolution
Exact-match-first
Golden Records
One patient, one ID
MDM Threading
Single ID across all data
Clinical Modeling
Patient History
Data evolving over time
Clinical Facts
Encounters, labs, billing
Metrics & Flags
Pre-computed indicators
Cohort Segmentation
Rule-based populations
Intelligence & Activation
Care Gap Detection
200+ protocol definitions
Knowledge Store
AI grounding layer
Dataset Transport
Arrow Flight to APIs and ML
CRM & Campaign Feed
Powers engagement layer

Data Engineering Capabilities

Each capability solves a specific healthcare data problem. Together, they turn raw hospital exports into unified, intelligence-ready patient data.

DI

Data Ingestion

Connects to any hospital system. Auto-detects schemas, tracks changes incrementally, normalizes clinical codes and date formats. New sources onboard in hours, not weeks. 150+ hospital formats mapped and tested.

MD

Identity Resolution (MDM)

Exact-match-first resolution on deterministic identifiers -- phone, email, national ID, medical record number. Noise filtering removes test records and invalid data before matching starts. Safe merge only: when confidence is low, records stay separate.

CM

Clinical Data Modeling

Tracks how patient data evolves over time. Builds encounter-level, lab, billing, and clinical fact tables with full referential integrity. Pre-computes metrics, risk scores, and clinical flags for instant downstream queries.

CO

Cohort Engine

Define a patient segment once -- use it everywhere. Campaigns, analytics, compliance, AI agents. Version-controlled so clinical teams track how populations shift over time. Channel reachability analysis built in.

CG

Care Gap Detection

200+ care gap definitions mapped to HEDIS, ADA, AHA, and WHO guidelines. Four-layer architecture: clinical eligibility, operational tracking, audit trail, and activation queue. Every state change logged for compliance.

PO

Pipeline Orchestration

Config-driven pipeline definitions with dependency chains, distributed scheduling, and automatic recovery. Pipelines run on schedule, recover from failures, and chain downstream processes -- without DevOps intervention.

OB

Data Onboarding

Four-phase automated onboarding: source ingestion, identity resolution, clinical modeling, reporting. AI-powered schema discovery handles the first pass. New hospitals go live in under 48 hours.

LD

Lead Management

Lead source management, ingestion, and enrichment with linked clinical and demographic data. Qualified leads flow into engagement campaigns with full data context attached.

From Data Engineering to Data Serving

DataCloud doesn't just process data -- it makes that data available to every downstream system in the THB platform.

KS

Knowledge Store

Semantic data catalogue

A semantic data catalogue that grounds every AI agent in curated, clinician-reviewed context. The Knowledge Store controls what data each agent can see, how tables relate to each other, and what clinical terminology means in your organization. AI responses are grounded in verified data -- not LLM training data.

AI GroundingClinician-ReviewedData Scoping
DT

Datasets & Data Transport

Arrow Flight transport

DataCloud produces curated datasets that feed NovaHub for real-time patient APIs, the ML Platform for model training and scoring, and Application Engine for CRM staging. Apache Arrow Flight provides high-throughput transport. The bridge between data engineering and every application that needs clinical data.

NovaHubML PlatformArrow Flight

AI-Powered Data Capabilities

Data engineering meets conversational AI. These agents operate within DataCloud's data domain, powered by the AI Platform runtime -- turning complex data operations into natural-language conversations.

CB

Cohort Builder Agent

Describe a patient segment in plain language. The agent translates it into a computable cohort definition, validates it against available data, and registers it for use across campaigns and analytics.

QA

NL Analytics Agent

Ask questions about your hospital data in English or Hindi. The agent queries curated datasets and returns charts, tables, and insights -- grounded in pre-computed metrics, not raw tables. No hallucinated numbers.

PB

Pipeline Builder Agent

Describe a new data pipeline in natural language. The agent generates the configuration, maps sources, and sets up the processing chain. Review and deploy without writing code.

DD

Data Discovery Agent

Explore what data is available, how entities relate, and what metrics exist. The agent navigates the schema catalogue and explains data lineage, quality scores, and relationships in plain language.

MB

Metric Builder Agent

Define new clinical metrics conversationally. The agent generates the computation logic, validates it against existing data structures, and registers it for pre-computation on every pipeline run.

Enterprise Security Built In

Healthcare data demands more than authentication. DataCloud enforces access control, PII protection, and audit trails at every layer of the platform.

RB

Role-Based Access Control

Granular permissions

Granular permissions on every dataset, pipeline, and capability. Teams see only what they need. Configurable per tenant, per role.

Per-TenantPer-Role
AB

Attribute-Based Policies

Dynamic access

Dynamic access policies based on context: role, department, data sensitivity, patient relationship. Goes beyond static role assignments.

Context-AwareDynamic
PI

PII Protection

AI-based detection

AI-based PII detection across ingested data. Time-bound access leases for sensitive fields -- access expires automatically. Automatic masking for non-privileged users.

Auto-MaskingTime-Bound
AT

Complete Audit Trail

Compliance-ready

Every data access, pipeline execution, and configuration change is logged with actor, timestamp, and context. Compliance-ready for HIPAA, NABH, and enterprise audits.

HIPAANABH

Powers the entire platform

DataCloud Feeds Every Downstream System

Processed data, care gap actions, and enriched leads flow from DataCloud into the CRM, real-time APIs, AI agents, and campaign engine. Staff see unified patient profiles, prioritized action lists, and clinical context -- all powered by the data pipeline running underneath.

0-Phase
Automated onboarding: ingest, resolve, model, report
0+
Chronic and preventive conditions covered
Any System
Feeds CRM, APIs, ML Platform, and campaign engines
Config-Driven
Zero pipeline code -- all JSON configuration

Also available as a product

DataCloud Powers Data Intelligence

Use DataCloud's data engineering capabilities to power your existing CRM, HIS, or EMR via real-time APIs -- without adopting the full THB platform.

Explore Data Intelligence

See DataCloud Running on Real Hospital Data

We'll take a raw data export from your hospital system and show you the full pipeline -- ingestion to care gap detection to campaign activation. Live.