The Clearsense Healthcare Data Model is a highly mature and robust domain model combined with Clearsense data integration accelerators that facilitate rapid data acquisition, conformance, management, and interoperability across payer, provider, and research data sources. It provides a unified and optimized view of clinical, financial, and operational healthcare data at an enterprise level. These advanced data models adhere to industry standards, ensuring compatibility and seamless integration and interoperability with existing client systems. By incorporating best practices and domain expertise, the Clearsense Healthcare Data Model caters to healthcare’s unique requirements and complexities, enabling efficient and effective data management, quality, analysis, and insight.
The Clearsense Healthcare Data Model offers a comprehensive library of over 1,000 pre-built data integration tasks and mass ingestion designs. These resources are designed per industry-leading design pattern standards, ensuring adherence to best practices and accelerating implementations. The out-of-the-box functionality enables healthcare organizations to leverage standardized and efficient data integration and interoperability processes, saving time and effort in data mapping and ingestion. The dynamic capabilities of the Clearsense Healthcare Data Model eliminate the need to rebuild from scratch each time new dataset expands, enhancing flexibility and agility. The extensive collection of pre-built integrations provides a solid foundation for data management and analytics within the healthcare domains.
Did You Know?
The Clearsense Healthcare Data Model allows flexibility in adding needed domains and attributes to support the entire healthcare enterprise. With the ability to quickly aggregate all the data together, this revolutionary platform’s accelerators organize all data into common and understandable formats so it can be used reliably and quickly.
Real-time and Batch Data Lake
The Acquisition Zone enables seamless ingestion of diverse healthcare data from various sources with real-time, near real-time, and batch accelerators. It ensures data integrity through built-in audit, quality, and control attributes, supporting real-time messaging and dynamic connectivity to primary transactional systems. With prebuilt ingestion accelerators for payer, provider, revenue cycle, credentialing, and MDM sources, it expedites implementation and reduces configuration efforts.
The Exploration Zone is the enterprise layer for data governance and management, enabling insight and provisioning capabilities. It incorporates business and technical metadata, includes accelerators for common data sources, and ensures consistency through common enterprise tables. Audit, quality, and control attributes enhance data integrity, while streamlined implementation is supported with payer and provider data domains.
Out-of-the-box connectivity, data models, & metadata optimized for healthcare applications, interoperability, & analytics
The optimized products of the consumption zone enable seamless integration, efficient data flow, rules engines, workflows, and quick insights for data-driven decision-making in healthcare. With Clearsense, organizations can enhance application performance, promote interoperability, and leverage data to improve patient care and operational excellence.
Accelerate time to value & fuel self-service analytics
Streamlined data access and analysis, empowering users with self-service analytics for faster actionable insights.
Healthcare-specific models & seamless data integration
Pre-built models and seamless data integration tailored specifically to the healthcare industry.
Connect all data
Designed to support the diverse data landscape of the healthcare industry.
Effortlessly scaled with growing data volumes, enabling efficient handling of expanding datasets and unlocking valuable insights throughout your healthcare analytics journey.
Return on investment
The Clearsense Healthcare Data Model enables efficient data processing, streamlined analytics workflows, and improved decision-making, ultimately leading to cost savings, enhanced operational efficiency, and better patient outcomes.