How does the platform handle data versioning for shared records?

• A. Through timestamped updates and versioning within CCDA or internal data models to reflect the latest data.
• B. By maintaining a single static copy that never updates.
• C. By listing data sources without version numbers.
• D. By using random version IDs not tied to data changes.

Answer: (A)

Data versioning for shared records hinges on knowing exactly when data changed and which version represents the current state across partner systems. Platforms like EpicCare Everywhere rely on timestamped updates and a version indicator embedded in the CCDA document or the internal data model. This lets each system determine if its local copy is up-to-date, supports proper reconciliation when multiple sources modify a record, and preserves a history for auditing and safety. By tying the version to actual data changes, you maintain a clear lineage of edits and ensure consistent, accurate sharing across organizations. A static copy would quickly go stale, listing sources without version numbers offers no way to know which data is current, and random, change-agnostic IDs break traceability and synchronization.