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Category: Mapping

Blog Post

Three Reasons DSM-5 Mapping Strategies Matter

The introduction of industry standards such as SNOMED CT, ICD-10, LOINC, and RxNorm is an important step toward achieving the goals of interoperability and information sharing. Yet healthcare organizations still face notable challenges to laying the best frameworks for normalizing data to these standards. Since there is no one standard that addresses all healthcare information, […]

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NLP: Unlocking the potential of unstructured text in healthcare

Hospitals and health systems are sitting on a wealth of patient information that has potential to transform care delivery. Yet analytics infrastructures designed to fuel performance improvement have traditionally overlooked much of that data because it resides in health IT systems as unstructured free text. The industry has made notable inroads with structured patient data […]

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3 Ways Data Normalization is Key to Link Claims and Clinically-Sourced Data

Working with electronic health data is no walk in the park. Just ask the numerous healthcare organizations that want to share data among disparate IT systems or pull data from multiple data sources for analytical or reporting purposes. A significant challenge is being able to leverage both claims and clinically-sourced data. Claims data 101 When […]

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