How do you mitigate referential integrity risks in a healthcare Clarity model?

How do you mitigate referential integrity risks in a healthcare Clarity model?

• A. Rely solely on application logic without ETL validation.
• B. Remove all foreign key constraints to maximize throughput.
• C. Use only surrogate keys and ignore reconciliations.
• D. Use constraints and cascade rules, surrogate keys, strong ETL validation, and reconciliation steps.

Answer: (D)

Maintaining referential integrity means ensuring every relationship between tables remains valid as data moves from source systems into the Clarity data model. In healthcare data, this matters for patient, encounter, provider, and item relationships, where orphaned records or mismatched links can compromise audits and analytics. The strongest approach is to enforce constraints at the database level and use cascade rules so changes propagate correctly, introduce surrogate keys to decouple internal keys from whatever sources supply data, implement strong ETL validation to catch anomalies before loading, and perform reconciliation steps to align data across sources. This combination prevents orphaned or mislinked records, supports stable joins, and keeps data trustworthy for reporting and research. Relying solely on application logic cannot guarantee uniform enforcement across all data entry paths; removing foreign key constraints removes enforcement and can create orphaned data; using surrogate keys without reconciliation can leave cross-source inconsistencies undiscovered. Therefore, this integrated strategy best mitigates referential integrity risks.

Maintaining referential integrity means ensuring every relationship between tables remains valid as data moves from source systems into the Clarity data model. In healthcare data, this matters for patient, encounter, provider, and item relationships, where orphaned records or mismatched links can compromise audits and analytics. The strongest approach is to enforce constraints at the database level and use cascade rules so changes propagate correctly, introduce surrogate keys to decouple internal keys from whatever sources supply data, implement strong ETL validation to catch anomalies before loading, and perform reconciliation steps to align data across sources. This combination prevents orphaned or mislinked records, supports stable joins, and keeps data trustworthy for reporting and research. Relying solely on application logic cannot guarantee uniform enforcement across all data entry paths; removing foreign key constraints removes enforcement and can create orphaned data; using surrogate keys without reconciliation can leave cross-source inconsistencies undiscovered. Therefore, this integrated strategy best mitigates referential integrity risks.