Applying Implementation Science Principles to Systematize High-Quality Care for Potentially Significant Imaging...

Area of Science:

• Radiology
• Implementation Science
• Health Informatics

Background:

• Potentially significant imaging findings require robust diagnostic and management protocols.
• Current workflows may lack systematic approaches for tracking and managing incidental findings.
• Implementation science offers a framework to integrate evidence-based practices into clinical settings.

Purpose of the Study:

• To apply implementation science principles to enhance the diagnosis and management of significant imaging findings.
• To develop and evaluate a finding tracking management system integrated into radiologist workflows.

Main Methods:

• Multidisciplinary teams codified diagnostic and management pathways for eight organ systems.
• A finding tracking management system was developed and embedded within radiologist workflows and IT infrastructure.
• Radiologists received training on the new system, which included automated features for care pathway visualization and electronic safety nets.

Main Results:

• The finding tracking management system was utilized for 10,015 examinations across 7,843 patients over 4 years.
• Quality reviews related to targeted imaging findings decreased significantly from 8.0% to 0.0% (P < .007).
• Radiologist use of the system increased by 82% post-implementation, with approximately 4,000 annual uses.

Conclusions:

• A finding tracking management system, developed using implementation science, effectively improved the management of significant imaging findings.
• The system enhanced communication and awareness among radiologists regarding follow-up recommendations.
• The implementation resulted in a marked reduction in quality review requests, indicating improved patient care pathways.