Clinical data integration platforms allow payers to unify patient data from various silos to better understand population health trends and costs. They feature modular architectures that scale to handle large, diverse data lakes while maintaining data quality. Real-time streaming analytics and strong security are also important to support value-based care models and precision medicine through accurate, shared insights. Successful clinical data integration requires aligning goals, assessing needs, implementing holistic technology and process solutions, and managing ongoing change.

1. Clinical Data Integration
Must haves for modern8
Uniform Data Integration
Most organization’s clinical data exists in silos, and data
integration helps provide a unified view of data to better
understand population-level health and quantify risk
Buoyant Data Lakes
Data lakes are designed to be agile, configurable
alternatives to traditional EDW approaches for
answering complex healthcare questions
Modular Architecture
A modular architecture for data curation makes a CDI
platform scalable, and supports data standardization,
transformation and reconciliation
Exceptional Data Quality
A crucial part of any data integration process, a CDI
platform should contain pre-defined data quality
rules for healthcare entities at every level
Operational Data Model
Operational data model minimizes data redundancy and
stores normalized data from multiple sources
Strong Analytics Sandbox
Staying on top requires healthcare companies to
provide data scientists a secure environment to
mine data and support business strategy
Precise Data Governance
Data governance initiatives like data security, audit,
lineage, etc. ensures business users get high quality
accurate and consistent data every time.
Streaming Analytics
Real-time data and big data analytics is crucial as
the industry struggles to improve cost efficiencies
and improve outcomes based healthcare
The shift from volume based to value-based payment model has made the need for
more and accurate clinical data all-important for payers. Today, a clinical data integration
(CDI) platform that can enable payers to acquire, access and share clinical data to
improve patient outcomes, reduce cost, and increase revenue is crucial
Steps for a successful
migration to modern CDI4
1
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3
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▪ Align strategic goals to CDI
▪ Gather & analyze business
capabilities
▪ Define & map technology
capabilities
▪ Develop high level business
architecture
Understand CDI Needs
Develop Responsive
Roadmap
▪ Evaluate current state
capabilities (technology, data,
organization & goals)
▪ Assess CDI capabilities using
maturity scorecard
▪ Identify gaps and create
roadmap
▪ Calculate potential ROI of CDI
investment
Implement Holistic
Solution
▪ Technology – EDW & data
lakes, integration tools, clinical
rules engine, reporting &
analytics
▪ Process – Documented
reporting & rules
management, SOPs & controls
▪ People – Care management
personnel, IT operations, data
scientists, clinical informatics
Manage Change for
Impact
▪ Develop detailed project plan
for CDI implementation
▪ Incorporate continuous
improvement & change
management throughout CDI
journey​
CitiusTech is a specialist provider of healthcare technology services and solutions, with strong
presence across the globe. CitiusTech’s Healthcare Clinical Data Pipeline (H-CDP) enables
seamless integration, ingestion and standardization of diverse healthcare data