Data-Driven Anomaly Detection in Laboratory Medicine: Past, Present, and Future.

Laboratories should implement data-driven approaches to detect technical anomalies and keep them from entering the medical record, while also using the full array of clinical metadata available in the laboratory information system for context-dependent, patient-centered result interpretations.