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Data extraction, ingestion, and augmentation is simplified and expedited by Cedar Gate’s Enterprise Data Management System, which features an interface library to support inbound data from 35 domains.
Our Data Processing tools automate complex tasks to make data usable by Cedar Gate applications as well as your third-party applications authorized to connect to our data lake. Our Enterprise Data Management system cleanses, enhances, and augments your data using thousands of rules and parameters. The result is a high-value dataset that is continuously refreshed and available.
Our vendor management process builds on our extensive knowledge of healthcare data sources. We manage and maintain a library of more than 350 distinct vendors, with specific information pertaining to expected data layouts, along with the pros and cons of each layout with respect to extraction, transformation, and loading (ETL).
Our file automation framework retrieves files quickly after being uploaded by the data vendor. Received files undergo a rigorous set of QA tests that validate the content and format of the file. Any issues surfaced during this process are resolved by our in-house data vendor management team.
Our data cleansing methodology begins with data standardization, leveraging our proprietary file mapping system. Data is then processed for accuracy, consistency, relevancy, and integrity, using our quality control rules. The automated process compares, contrasts, and corrects large datasets, reducing the time and expense required to ensure data accuracy and integrity.
Enrichment rules are applied to raw data upon intake, including rules for calculating risk scores, chronic conditions, quality metrics, utilization metrics, healthcare events, chronic and procedural episode groupers, normative benchmarks and avoidable and preventable events.
Precision insights require a sophisticated approach to data. Our enterprise data management tools collect and normalize data from any source and transform it with the ability to combine up to 35 unique data types. The result is high-quality data that is warehoused securely in the cloud and made accessible by our applications and services, as well as your own. A single source of trusted data drives consistency across interdependent value-based care use cases, whether you are modeling contract performance, identifying high-performance networks, or targeting populations for clinical intervention.
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The right solution for your value-based journey is only a click away. Our modular technology is quickly and easily integrated into current systems and complements existing IT investments so that we can grow with you. Learn more today!