SmartAlert - Implementing Machine Learning-Driven Clinical Decision Support for Inpatient Laboratory Utilization Reduction.

Repetitive laboratory testing that is unlikely to yield clinically useful information is a common practice that burdens patients and increases health care costs.

This Case Study describes the implementation process, challenges, and lessons learned from deploying SmartAlert targeting complete blood count (complete blood count) utilization in a randomized controlled pilot across 9270 admissions in eight acute care units across two hospitals between August 15, 2024, and March 15, 2025.