Symedical® Lab Normalization for Epic® provides advanced automation to enable enterprise mapping and consolidation of external lab results to common names, base names, and LOINC®. It dramatically reduces the cost and time required to enable lab data interoperability and to maximize the analytical capabilities of your Epic implementation.
It is commonly recognized that the quality of the lab data being used today across electronic health records (EHR) and other clinical systems to generate analytics is in need of improvement. Aligning lab data across an entire enterprise is especially challenging due to variations in (non-standardized) terminologies used to document labs across systems. For example, in LOINC there are more than 700 terms to represent glucose that cover variations in specimen type, point in time vs. timed tests, random vs. fasting tests where the need to understand context matters to the ability to align the data for appropriate meaning and understanding.
Actual health systems savings from on-boarding two external labs. Each new use resulted in increased savings
Having an effective lab mapping strategy, powered by an advanced data normalization solution like Symedical, delivers significant value across the enterprise and enables patient lab data to be leveraged for effective quality measure reporting, graphical lab trending, reimbursement, population health management, identification of gaps in patient care, and semantic interoperability.
With Symedical Lab Normalization for Epic, organizations that use Epic are now able to leverage Symedical’s:
Advanced terminology normalization engine with domain-specific understanding of what a term means and the ability to normalize it into a frame of reference so that it’s useable and unambiguous
More than 150 customizable matching algorithms that support a broad variety of mapping approaches (1-to-1, 1-to-many, broader-than, etc.)
Aggregated Lab Information Grouping Nomenclature (ALIGN) content, which includes clinically meaningful groups of common laboratory results that supports the ability to aggregate, analyze, and trend lab data