Healthcare Big Data

Leverage our big data solutions to accelerate your data strategy

Healthcare industry is undergoing a paradigm shift from volume to value. Organizations must use technology to drive patient engagement, provider oversight, protocol management and utilization management to create efficiency on clinical and financial goals. This shift requires organizations to gather and curate a significantly greater volume of data. This data come from a variety of systems like EHRs, claims system, medical devices, labs, pharmacies and from new data sources like consumer apps, genomics, etc.

Healthcare organizations are now facing significant challenges in integrating and managing data.  Structured and unstructured data are coming from multiple sources and organizations must harness it for data analytics and other downstream systems.

H-Scale, CitiusTech’s healthcare big data platform, provides a modular big data integration platform. With it, organizations can address unique healthcare industry requirements like – management of structured and unstructured data, data governance capabilities (data quality, data normalization and MPI), automated and streaming analytics, real-time processing, advanced analytics, data security and privacy and interoperability support. With a multitude of delivery options (cloud or on-premise), organizations can drive their technology strategies efficiently and effectively.

Healthcare Data Processing, Healthcare Data Lake, Hadoop Distributions

H-Scale: Healthcare Big Data Platform

H-Scale: Healthcare Big Data Platform

H-Scale: Key Features

H-Scale enables organizations to manage large structured and unstructured healthcare data sets. Organizations can integrate H-Scale with their existing healthcare apps to rapidly build their customized big data solutions.

Modular Architecture

Enabling integration and storage of high volume, velocity and variety of healthcare data.

  • Apache Hadoop-based ecosystem compatible with various Hadoop distributions including Hortonworks, Cloudera and IBM BigInsights
  • Data ingestion from disparate sources
  • Highly secure and scalable healthcare data lake for data storage
  • Late binding for easy adaptability to frequently changing market requirements
  • Multitude of delivery options (cloud or on-premise) to allow organizations to quickly ramp up their capabilities in a HIPAA-compliant manner

Data Integration Adaptors/ Parsers

Enabling batch and real-time ingestion of data from disparate sources.

  • Highly configurable data ingestion from a variety of source systems such as EHRs, PACS, PMS, biometric devices, mobile apps and social media
  • Industry standard ingestion mechanisms like REST, MLLP, XDS, DICOM
  • Alert management capabilities for real- time patient engagement
  • Pluggable parser adapters capable of parsing standard and customized data formats
  • Data governance capabilities to ensure data accuracy and completeness of the persisted data

Master Data Management

Allowing customers to proactively manage and monitor data curation to ensure high-quality data to use in downstream systems.

  • Data quality, data normalization and data reconciliation to enable MPI capabilities
  • User configurable rules library for master data management
  • Actionable insights with advanced analytics for data quality reporting
  • Reporting from different perspectives allowing data lineage and root cause identification

Network Intelligence

Management of automated analytics and messages going to patients, care givers, care managers and providers to drive proactive decision making at the right time and place.

  • Analytics-driven insights available at the point and time of decision making
  • Real-time and automated analytics to monitor organizational KPIs
  • Reduced alerts fatigue by setting threshold and triggering notifications to solve systemic problems
  • Management of patients, processes and staff in real-time to ensure maximum efficiency and effectiveness
  • Personalization of rules for individuals KPIs and thresholds

H-Scale: Accelerating Big Data in Healthcare

CitiusTech’s 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.

H-Scale: Healthcare Big Data Demo

Why H-Scale?

Accelerate the use of big data technologies, while addressing data security, access management and interoperability challenges in healthcare.