H-Scale

Healthcare Data Integration and Management Platform

Accelerate your Data Strategy with H-Scale™

With massive volumes of data streaming in from a variety of disparate data sources, managing data has become a nightmare for healthcare organizations. To make data actionable, organizations need a comprehensive data management solution that can integrate and curate data from a diverse set of healthcare applications, to establish an enterprise’s data architecture. 

H-Scale™, CitiusTech's next-generation healthcare data integration and management platform, enables organizations to make data the backbone of their strategy. Leading healthcare organizations use H-Scale to address a variety of enterprise data needs such as interoperability, quality, governance and Big Data management. With state-of-the-art modular architecture, H-Scale is uniquely positioned to solve data problems and also help you drive your organizational data strategy.

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H-Scale: Advantage

  • Largest regulatory coverage HEDIS®, STAR, ACO, HCC, VBP, MIPS, PCMH etc.
  • Interoperability focused platform specialized in healthcare data acquisition, storage, curation and provisioning
  • HDP for acquiring, parsing, validating and persisting structured / semi-structured clinical and claims data
  • H-IQM for real-time management of data quality at source and monitoring interfaces
  • Business user-driven data lifecycle management supporting batch as well as real-time analytics
  • Consistent solution strategy across on-premise as well as cloud deployments
  • Compatible with various Hadoop distributions - Hortonworks, Cloudera and IBM BigInsights
  • Compliant with healthcare privacy and security considerations - HIPAA, 21CFR, Meaningful Use
  

 

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H-Scale: Accelerating Big Data in Healthcare

H-Scale enables healthcare organizations to accelerate the use of Hadoop and other big data technologies in healthcare, while addressing unique healthcare industry requirements such as data security and encryption, data privacy, user and access management, and support for interoperability (HL7, FHIR) and clinical terminology standards. The platform lets you enhance data quality to effectively drive compliance, analytics and value-based care initiatives.

Healthcare Data Quality & Monitoring Playbook

A 4-step approach to enhance data quality

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Case Study

Automated Event Notification & Physician Collaboration Using H-Scale

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Healthcare Data Processing, Healthcare Data Lake, Hadoop Distributions
Data Integration and Governance

Data Ingestion and Management Framework

Simplified setup of batch-wise or real-time ingestion across multiple integration points.

  • Comprehensive Data Curation: Normalization, standardization, quality and reconciliation for healthcare standards, along with a visual representation of data lineage
  • Advanced Reporting and Tracking: At-a-glance view of what happens to the data at different points in the pipeline
  • Sophisticated DIY Architecture: Modular framework allowing users to pick and choose components and configure pipelines

H-IQM: Interop and Quality Monitor

Build confidence in your data quality, with pre-built data quality rules across 10+ domains.

  • Tight integration with interface engines (incl. Mirth, Cloverleaf) and standard healthcare data feeds (FHIR, HL7, CSV, EDI etc.)
  • Exhaustive library of 1,500+ pre-built data quality rules, to validate correctness and consistency of data at source
  • Real-time data quality tracking (including quality trends and recommendations) and source traceback
  • GUI-based guided decision making and interface engine-agnostic actionable dashboards
  • Cloud-hosted solution with minimal on-premise footprint – easy and cost-effective deployment

Learn more about H-IQM >

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HDP: Healthcare Data Pipeline

Adapt quickly to a changing interoperability environment by streamlining the deployment of data adaptors, parsers and integration pipeline.

  • Business user-driven data lifecycle management for providers and payers to improve quality scores
  • “Pipeline builder” capability to create data pipeline using pre-built components – parsers (FHIR, HL7, CCDA, X12), data quality, standardization, transformation and reconciliation
  • In-built audit, logging and lineage capability along with ready adapters
  • Compatible across major Hadoop distributions including Hortonworks, Cloudera, Azure HDInsights, Azure DataBricks, etc.

​Learn more about HDP >

Extract Value, Win Quick! Demo H-Scale™

See how H-Scale can help your organization build a robust and future-ready data architecture. Our live demo sessions and platform walk-throughs give you a quick overview of key capabilities and also dive into success stories with leading healthcare organizations.

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