Lab Result Anomaly Detection

UC-2026-011 • Laboratory Services

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SubmittedT3High RiskRestricted Data

Lab Result Anomaly Detection

ML system to flag unusual lab results that may indicate critical conditions or testing errors.

Laboratory Services
Dr. Salman Al-Dosari
3/28/2026
Updated 3/30/2026
Risk Score
70
High
Pending
Workflow ProgressCurrent Stage: Intake
Intake
Monitoring
Business Objective

Improve lab result accuracy and catch critical values faster.

Expected Benefit

Reduce critical value notification time by 60%.

Technical Details
AI TypeMachine Learning
Data ClassificationRestricted
VendorIn-house
Owner Information

Dr. Salman Al-Dosari

Laboratory Services

s.aldosari@moh.gov.sa
AI Governance Assistant