HEALTHCARE DATA
Building a reliable, responsive, and resilient data foundation
Empowering Payers to deliver innovative data products, leading to better outcomes and lower operational cost
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HEALTHCARE DATA
Unlocking data silos across the Payer value chain
Leverage CitiusTech's comprehensive data solutions to seamlessly migrate Healthcare data to the cloud, integrate diverse Payer information, and manage real-time data streams.
Enterprise data
on the cloud
Event-driven, real-time
data streaming
Member data hub
Payer-Provider
data model
Provider data
management
Quality and governance
Multi-payer data integration
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CONNECT WITH US
Drive market differentiation and efficiencies with access to real-time, consistent, and accurate data.
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features
Unifying Healthcare ecosystems to harness real-time data
Optimize Payer data strategy
Enhance Payer data management by developing a strategic roadmap, building data pipelines and lakes, and optimizing cloud data operations to increase efficiency and insight.
Leverage cutting-edge assets
Utilize advanced assets and accelerators like Database Migration Frameworks and Healthcare Data Parsers to streamline data integration and accelerate analytics capabilities for improved decision-making.
Forge strategic partnerships
Harness our partnerships with industry leaders such as Databricks, Snowflake, AWS, GCP, and Microsoft Azure to harness robust technological platforms, enhancing data scalability and security.
Case Study
Accelerated price transparency compliance
Built an MRF engine that generates monthly MRFs for over 10 payers and processes 40TB, meeting CMS's Transparency in Coverage requirements.
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Case Study
Minimized data issues with data Integration and management platform
Integrated 20+ Payer customers having 20+ file formats with 200+ data quality rules for a value-based home health services provider. Reduced operational costs with 95% reduction in operational service requests.
Case Study
Designed a centralized enterprise Payer data platforn on cloud
Deployed a cloud-native data platform on AWS and Snowflake, integrating data for 3Mn+ members from 20+ systems to enable 100+ analytics and AI/ML use cases.
