Health Information Data Quality and Audit: Outcome HIE Platform Mechanism

Details

The system first checks incoming data against defined quality standards. Messages failing these standards are logged and quarantined for review and reprocessing, often requiring additional codeset mappings. Successfully passing messages then undergo codeset mapping, sensitive data tagging, and filtering of incomplete or bad data. Crucially, every transaction successfully ingested by the FHIR CDR is recorded in an audit trail, allowing errors to be tracked and reviewed via reports and alerts. Data Quality Reports are extracted from three specific sources: `message_log` (file processing metrics), `message_error_log` (minimum standards failures for generating a distinct FHIR resource), and `codeset_error_log` (issues with converting or looking up coded concepts). These reports provide detailed breakdowns of problematic sources, message paths, and codes. This robust process ensures that all messages received from any participant are carefully processed and ingested with a full audit trail attached. (Note: The text describes the operational mechanism and reporting capabilities of the platform rather than specific technical standard updates.)