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Multiple Choice

Autoverification in total laboratory automation relies on which mechanism?

Autoverification relies on predefined rules that allow automatic release of results when the data meet specific criteria. In a total laboratory automation system, each result is evaluated against programmed checks—such as specimen validity, instrument QC status, calibration validity, and whether the result falls within acceptable reference or delta-change ranges. If all the criteria are satisfied and there are no critical flags requiring clinician action, the result is automatically posted to the report, streamlining workflow and reducing manual review. This approach contrasts with manual reverification by a supervisor, which requires human intervention and is not the mechanism of autoverification. It also isn’t about automatically notifying clinicians without data, since autoverification still produces and delivers the result; and it isn’t about archiving results without reporting, which would withhold information rather than automatically releasing it.

Autoverification relies on predefined rules that allow automatic release of results when the data meet specific criteria. In a total laboratory automation system, each result is evaluated against programmed checks—such as specimen validity, instrument QC status, calibration validity, and whether the result falls within acceptable reference or delta-change ranges. If all the criteria are satisfied and there are no critical flags requiring clinician action, the result is automatically posted to the report, streamlining workflow and reducing manual review.

This approach contrasts with manual reverification by a supervisor, which requires human intervention and is not the mechanism of autoverification. It also isn’t about automatically notifying clinicians without data, since autoverification still produces and delivers the result; and it isn’t about archiving results without reporting, which would withhold information rather than automatically releasing it.