Interview Finalist
Project #655
The Low Dose, High Quality Initiative: Optimizing CTA Protocols to Reduce Radiation Exposure & Contrast Nephropathy Risk
Security Forces Hospital Makkah
makkah
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This project addresses critical patient safety concerns in CT Angiography (CTA) by systematically optimizing radiation exposure and contrast media administration. Prior to the project, significant variation in dose levels and contrast usage was observed, creating avoidable patient risk and inconsistencies in diagnostic quality. In response, a structured, evidence-based quality improvement initiative was launched to enhance safety, clinical efficiency, and resource utilization.
The project aimed to reduce radiation exposure by 40%, contrast volume by 30%, and associated costs by 30%, while maintaining high diagnostic accuracy and minimizing the incidence of Contrast-Induced Nephropathy (CIN). A multidisciplinary team including radiologists, technologists, quality improvement specialists, and financial analysts implemented a comprehensive approach based on the Institute for Healthcare Improvement (IHI) methodology, incorporating Plan-Do-Study-Act (PDSA) cycles, staff training, protocol standardization, and innovative contrast dilution techniques.
The target population included all patients undergoing CTA, with emphasis on high-risk individuals such as those with chronic renal impairment or requiring repeated scans. Stakeholders involved in the project included imaging staff, patient safety teams, and finance departments, all engaged through regular workshops, iterative discussions, and structured feedback loops.
Outcomes included measurable reductions in radiation doses and contrast volumes, improved consistency of imaging quality, enhanced renal safety, and significant cost savings. For example, 39 CTA cases resulted in 571 SAR savings, projecting an annual saving of 35,843 SAR based on 2,132 CTA scans in 2024. The initiative demonstrates how low-cost, data-driven interventions can produce sustainable improvements in patient safety, clinical performance, and operational efficiency, providing a scalable model for other imaging departments.
This project addresses critical patient safety concerns in CT Angiography (CTA) by systematically optimizing radiation exposure and contrast media administration. Prior to the project, significant variation in dose levels and contrast usage was observed, creating avoidable patient risk and inconsistencies in diagnostic quality. In response, a structured, evidence-based quality improvement initiative was launched to enhance safety, clinical efficiency, and resource utilization.
The project aimed to reduce radiation exposure by 40%, contrast volume by 30%, and associated costs by 30%, while maintaining high diagnostic accuracy and minimizing the incidence of Contrast-Induced Nephropathy (CIN). A multidisciplinary team including radiologists, technologists, quality improvement specialists, and financial analysts implemented a comprehensive approach based on the Institute for Healthcare Improvement (IHI) methodology, incorporating Plan-Do-Study-Act (PDSA) cycles, staff training, protocol standardization, and innovative contrast dilution techniques.
The target population included all patients undergoing CTA, with emphasis on high-risk individuals such as those with chronic renal impairment or requiring repeated scans. Stakeholders involved in the project included imaging staff, patient safety teams, and finance departments, all engaged through regular workshops, iterative discussions, and structured feedback loops.
Outcomes included measurable reductions in radiation doses and contrast volumes, improved consistency of imaging quality, enhanced renal safety, and significant cost savings. For example, 39 CTA cases resulted in 571 SAR savings, projecting an annual saving of 35,843 SAR based on 2,132 CTA scans in 2024. The initiative demonstrates how low-cost, data-driven interventions can produce sustainable improvements in patient safety, clinical performance, and operational efficiency, providing a scalable model for other imaging departments.