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Decreasing safety events and reconciliation errors in CT imaging
Vivek Batra1, Erin Panter2, Ashley Conley2
1Department of Imaging, University of Rochester Medical Center, Rochester, USA. vivek_batra@urmc.rochester.edu.
Objective:
Imaging reconciliation errors within Picture Archiving and Communication Systems (PACS) can lead to adverse patient outcomes, unnecessary procedures, and delayed care. Historically, our institution averaged 400 safety-related events annually, including high-priority errors such as images linked to the wrong patient, incomplete image transmissions, and images stored in incorrect PACS folders. Our quality improvement (QI) team aimed to decrease high-priority reconciliation event rates in Computed Tomography (CT) from a baseline of 4.75 events per 1,000 exams to 1.9 events per 1,000 exams by June 2024.
Methods:
Conducted at a large academic medical center, this continuous QI initiative deployed a bundled intervention consisting of workflow redesign and mandatory forms, technological safeguards via barcode scanners, and a cultural shift driven by data transparency and targeted coaching. Data was analyzed using statistical process control (SPC) charts.
Results:
Between July 2, 2023, and February 23, 2025, the overall rate of reconciliation events decreased to 0.1%. Potentially serious safety errors dropped to fewer than 100 per year, and the average time elapsed between reconciliation events increased by 493%. The operational burden of manual reconciliation was reduced by an estimated 150 h annually.
Discussion:
A sustained reduction in errors was achieved through a comprehensive system redesign. Pairing standardized workflows and mandatory documentation with high-reliability technology, data transparency, and routine feedback proved highly effective at establishing a scalable reduction in imaging errors.
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