What characterizes structured data in electronic health records (EHRs)?

Structured data in electronic health records (EHRs) is organized in a predefined format, making it easier to input, store, and retrieve information efficiently. This organization typically involves using standardized formats such as tables, fields, and data types that allow for straightforward data entry and retrieval. For instance, structured data might include fields for patient demographics, lab results, medication lists, and vital signs, which can be easily processed by various software applications for reporting, analysis, and clinical decision-making.

This structured approach ensures consistency across data entries, simplifies data management, and facilitates interoperability between different health information systems. By being readily analyzable, structured data supports healthcare providers in improving patient care and operational efficiencies through the effective use of electronic health records.