Record-level IDs should be mapped using what?

Record-level IDs should be mapped using identity because this approach ensures that each record can be uniquely identified and reconciled across different systems or databases. In the context of data integration and interoperability, identity mapping involves establishing a consistent framework that assigns a unique identifier to each record, thus allowing for reliable reference and access to that record in the future.

Using identity is particularly important in healthcare systems, such as Epic, where accurate patient identification is crucial for delivering proper care and maintaining patient safety. By utilizing a consistent identity mapping strategy, organizations can enhance data accuracy, reduce the risk of errors, and streamline processes that rely on accurate record linkage.

The other options, while relevant in various contexts, do not specifically address the need for unique and consistent identification necessary for record-level IDs. Translation tables may be useful for converting values between systems, general mappings could refer to broader relationships rather than precise identifications, and custom reports serve more for data analysis rather than direct record identification.