THE HEALTHCARE INDUSTRY collects vast amounts of electronic data. These data are captured in a wide variety of formats using various collection methods. Using and reusing health data for multiple purposes can maximize efficiency, minimize discrepancies and errors caused by multiple data entry processes, reduce costs of data acquisition and storage, and support health information exchange and interoperability. When data are collected in a specific format or coding system and the same or similar information is needed for a different purpose, data maps from one system to another facilitate the reuse of data.In order for the data to be useful for all their intended purposes, semantic interoperability is required to achieve meaningful exchange across settings, data sets, and standards. Maps are one approach organizations are considering to achieve this goal
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