Safety and Performance Evaluation of a Clinical Decision Support System for Imatinib Therapeutic Drug Monitoring: In Silico Study

Background

Therapeutic drug monitoring (TDM) aims to optimize clinical outcomes but is hindered by logistical delays and susceptibility to data errors. Integrating model-informed precision dosing with point-of-care testing, fortified by rule-based validation and alerts, forms a transformative clinical decision support system (CDSS) essential for securing this complex workflow.

Objective

This study evaluates, in silico, the effectiveness of a rule-based CDSS for imatinib in detecting data-quality issues and optimizing therapeutic dosing, compared with a human TDM expert.

Methods