Data Warehouse, Business Intelligence Organizations
Reduce integration time for new data sources from months to days.
Powering AI with complete and enriched data
Ingest disparate data
Harmonize
Filter and share
CPLabs Semantic Data Fabric
Next Generation AI and Integration
Reduce time to integrate and harmonize data from disparate systems
Replace knowledge silos developed in teams with reusable semantic layers
Produce high-quality data for AI applications in a privacy-preserving manner
Use Cases
Health Data Exchange, Clinical Trials, And Research
Capture granular consent with a multi-lingual user interface. Streamline data exchange with real-time privacy filters based on granular consent.
Data Exchange Across Multiple Business Domains
Enable privacy-preserving standard agonistic data sharing between businesses in different domains, such as healthcare, social services, or finance.
Mobile and Web Applications
Offload consent user interface, data transformations, and real-time data filtering using components that work within the host application network.
Keep in touch
News
Layered Schema Architecture at the 2023 ONC Annual Meeting
Burak Serdar will talk about “Semantic Harmonization of Health Data using the Layered Schema Architecture” at the ONC Annual Meeting on December 14th, 2023.
Digital Privacy Expectations in the Era of Digital Health Roundtable
Dr. Berrin Serdar will be speaking at the IEEE Future Directions Digital Privacy Expectations in the Era of Digital Health Roundtable on June 28, 2023
Effective Concurrency in Go
Burak Serdar’s book “Effective Concurrency in Go” from Packt Publishing is now available.
Latest Posts
Why is working with health data so difficult?
Expecting common data standards to fix healthcare’s interoperability problems is too simplistic. It ignores the fact that there are many nuances to health data, and many of those nuances reflect critical information about the person and how the data was captured.
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Technical Challenges to Electronic Health Information Exchange
The US Government Accountability Office recently published a report on Electronic Health Information Exchange. The gist of the report is that electronic health information exchange has increased in numbers overall, but important challenges remain, especially for small and rural providers.
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On Semantic Interoperability and Self-Describing Data
This is the first post in a series that describes the use of self-describing data objects as a foundation for semantic interoperability.
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