Reducing Unnecessary Phlebotomy Testing Using a Clinical Decision Support System

Healthcare systems aim to reduce redundant testing while maintaining quality. Prior research has shown that unnecessary tests increase costs without benefit. However, identifying which tests are truly unnecessary remains a challenge. No prior work had resolved how to integrate decision support into routine ordering workflows. Existing studies focused on provider education or policy changes. This gap motivated the development of real-time tools to guide test ordering. The role of clinical decision support in test reduction is still unclear. Time-driven costing methods have been used to estimate savings. This paper contributes by testing a CDSS in a real-world setting.

The goal was to evaluate a CDSS's impact on unnecessary type and screen test orders. The specific problem was the high rate of redundant blood tests in a hospital. The motivation was to reduce costs without harming patient care. The CDSS alerts providers when a test is not needed. The study used a pretest-posttest design. The setting was a large academic medical center. The intervention was CDSS implementation. The study aimed to quantify cost savings and provider behavior changes.

The study compared test orders before and after CDSS implementation. Data were collected for three months pre and post intervention. The CDSS triggered alerts during test ordering. The system displayed the last test date and its expiration. Time-driven activity-based costing estimated savings. Provider types were categorized as physicians, PAs, and nurses. Unnecessary tests were defined as those ordered before expiration. The study measured the frequency and cost of unnecessary tests.

Post-intervention, 12.3% of tests were unnecessary versus 14.1% before (p < .001). This represents a 12.8% reduction in unnecessary tests. The total savings estimate was $142,612 annually. Physicians ordered the most unnecessary tests (31.5%). Physician assistants followed with 28.5% of unnecessary orders. Advanced practice nurses had 11.9% of unnecessary orders. The CDSS reduced test redundancy across all provider types. The system helped providers avoid redundant testing.

The CDSS reduced unnecessary type and screen tests and associated costs. The authors suggest that real-time alerts improve provider decision-making. The study shows that CDSS can guide providers at the point of care. The reduction in unnecessary tests was statistically significant. The cost savings were estimated using a validated method. Physicians were most frequently associated with unnecessary orders. The authors propose that additional interventions may improve outcomes. The CDSS is a tool to support clinical judgment.