Data Management

Address Your Most Critical Data Integration, Security and Governance Challenges

Healthcare organizations today need to build best-in-class capabilities and mature solutions around EDW, Big Data, predictive modeling, Machine Learning, streaming analytics and real-time information sharing. They also need to address multiple challenges around data integration and management.

CitiusTech Data Management Proficiency designs and supports architectures, policies, practices and roadmaps to address the information needs of a healthcare enterprise. The highlights of the proficiency are:

  • Strong interoperability expertise – with coverage of major healthcare data types, formats and standards
  • Deep understanding of clinical applications, healthcare data models and reference architectures
  • Experience around architecture, development and governance of large-scale healthcare EDW implementations
  • Healthcare Big Data expertise –acquisition, modeling, data lake, MDM, security, governance and data quality
  • Suite of solutions and accelerators, e.g. gaps-in-care app, healthcare data ingestion and data quality monitoring
  • 500+

    FHIR/HL7 certified professionals

  • 100+

    BI/Analytics implementations

  • 300+

    Data models developed

  • 250+

    EDW professionals

Success Story

Building a Unified View of Data with Enterprise Data Lake Implementation

Fierce Healthcare FHIR Survey Report

The survey derives key insights around the interoperability challenges and FHIR adoption

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Healthcare IT, Citiustech

Integration & Interoperability

  • Interoperability standards – FHIR, HL7, EDI X12, C-CDA, NCPDP, DICOM, LOINC, SNOMED
  • IHE Profiles - PIX / PDQ / XDS
  • EAI tools – Rhapsody, Cloverleaf, Ensemble, Iguana, Corepoint, IBM Integration Bus, TIBCO, BizTalk
  • Integration with EPIC, Cerner, Allscripts, eClinicalWorks
  • Integration of both structured and unstructured data sources
  • Out-of-the-box data adapters and Big Data accelerators
  • Real-time data integration and streaming analytics

Learn more about CitiusTech's Integration & Interoperability Services

EDW Strategy & Planning

  • Consulting and assessment - EIM strategies, EDW design
  • Modern data warehouse reference architectures and implementation guides
  • Strong enterprise data lake (for structured and unstructured datasets) and EDW development experience
  • Enterprise data models – QDM, FHIM, OMOP, UDMH, I2B2, SHRINE
  • Data governance tools – Idera, SQLMDS, IBM InfoSphere, Informatica MDM, SAP Master Data Governance
  • Exhaustive healthcare data quality rules library
  • Templates for interactive dashboards and reports with drill through / down features

Learn more about CitiusTech's EDW Services

Big Data

  • Big Data powered Modern Data Warehouse reference architecture
  • Big Data architecture as an enabler for streaming analytics, Machine Learning, Deep Learning
  • Hadoop distributions - Hortonworks, Cloudera
  • NoSQL datastores - HBase, Cassandra, Hive, Impala
  • In-memory computing – Apache Spark, Ignite
  • Real-time processing – Apache Spark, Storm
  • Leveraging Cloud platforms (Microsoft Azure, AWS, Google Cloud, IBM)
  • CitiusTech accelerators - parsers, rules engine, data quality to reduce time-to-market

Learn more about CitiusTech's Big Data Practice

Data Management Accelerators

The CitiusTech Data Management team leverages in-house accelerators to help healthcare organizations fast-track business value. Some of the key accelerators include:

  • Gaps-in-Care App (Using SMART on FHIR): Enables healthcare providers to address care gaps and improve performance against quality measures, using the FHIR standard.
  • H-IQM (Healthcare Interop & Quality Monitor): Modular solution with 1500+ pre-built data quality rules, that enables organizations to identify data quality gaps and address real-time data quality challenges at source
  • HDP (Healthcare Data Pipeline): Specialized solution that enables healthcare organizations to acquire, parse, validate and persist structured/semi-structured healthcare data
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