What is data mapping?

What is data mapping?

• A. Linking data elements from one system to another to ensure compatibility and accurate data exchange.
• B. Creating a new data warehouse for organization-wide reporting.
• C. Encrypting data to protect it in transit.
• D. Storing data in a repository for analytics.

Answer: (A)

Data mapping is the process of linking data elements from one system to the corresponding elements in another system so that data can be shared in a way both systems understand. This involves aligning fields, data types, and formats, and applying transformation rules when values differ (for example, converting units or mapping local codes to standard codes like LOINC or ICD-10-CM). This alignment is essential for reliable interoperability and accurate data exchange between, say, an EHR and a lab system or an health information exchange. The other options describe separate ideas: creating a data warehouse is about centralizing data for reporting, encryption is about protecting data, and storing data in a repository is about data storage for analytics. None of these focus on linking and aligning data elements across systems for exchange.

Data mapping is the process of linking data elements from one system to the corresponding elements in another system so that data can be shared in a way both systems understand. This involves aligning fields, data types, and formats, and applying transformation rules when values differ (for example, converting units or mapping local codes to standard codes like LOINC or ICD-10-CM). This alignment is essential for reliable interoperability and accurate data exchange between, say, an EHR and a lab system or an health information exchange.

The other options describe separate ideas: creating a data warehouse is about centralizing data for reporting, encryption is about protecting data, and storing data in a repository is about data storage for analytics. None of these focus on linking and aligning data elements across systems for exchange.