Improving genetic testing utilization in a tertiary care neonatal intensive care unit through quality improvement

Area of Science:

• Medical Genetics
• Healthcare Quality Improvement
• Neonatal Medicine

Background:

• Genetic testing is crucial for diagnosing conditions, but healthcare providers often lack formal genetics training, complicating test selection.
• The increasing number of genetic testing options presents challenges in optimizing their use in clinical settings.

Purpose of the Study:

• To enhance the utilization of cytogenetic testing in a tertiary care neonatal intensive care unit (NICU).
• To implement quality improvement strategies, including a genetic testing algorithm, to streamline diagnostic processes.

Main Methods:

• Utilized the Model for Improvement framework with rapid Plan-Do-Study-Act (PDSA) cycles.
• Implemented a specific genetic testing algorithm tailored for the NICU environment.
• Focused on quality improvement techniques to address testing inefficiencies.

Main Results:

• Achieved a 92% reduction in unnecessary cytogenetic testing.
• Observed an improvement in the diagnostic rate for genetic conditions.
• Reduced healthcare charges by 59%, with projected annual savings of $21,000.

Conclusions:

• Quality improvement initiatives, including algorithmic approaches, can effectively minimize redundancies and inefficiencies in genetic testing.
• Optimizing genetic testing in a Level IV NICU setting leads to substantial cost savings and improved diagnostic accuracy.