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Predicted Cost Savings Achieved by the Radiology Support, Communication and Alignment Network from Reducing Medical
Max Wintermark1, Andrew B Rosenkrantz2, Paymon G Rezaii1
1Stanford University, Department of Radiology, Neuroradiology Division, Stanford, California.
The Radiology Support, Communication and Alignment Network (R-SCAN) program can save Medicare $433 million annually by reducing unnecessary imaging costs. This quality improvement initiative promotes appropriate, high-value diagnostic imaging studies.
Area of Science:
- Health Economics
- Quality Improvement in Radiology
- Healthcare Policy
Background:
- The Radiology Support, Communication and Alignment Network (R-SCAN) is a collaborative quality improvement program.
- R-SCAN aims to enhance the appropriateness of medical imaging based on established guidelines.
- Previous studies demonstrated R-SCAN's effectiveness in increasing appropriate imaging study utilization.
Purpose of the Study:
- To estimate the potential cost savings of R-SCAN implementation within the Medicare population.
- To quantify the financial impact of improving imaging appropriateness for Medicare beneficiaries.
Main Methods:
- Analyzed R-SCAN data to determine the proportion of appropriate versus lesser-value imaging studies before and after intervention.
- Utilized a 5% sample of Medicare beneficiary data from 2017 to identify relevant imaging studies and costs.
- Extrapolated R-SCAN intervention proportions to the broader Medicare population to estimate cost savings.
Main Results:
- R-SCAN interventions led to a reduction of $260,000 in lesser-value imaging costs over 3.5 months in the study cohort.
- Extrapolation to the Medicare population suggests potential annual cost reductions of $433 million.
- A significant decrease in costs associated with lower-value imaging was observed.
Conclusions:
- Broad expansion of R-SCAN interventions offers substantial cost savings for the Medicare program.
- R-SCAN is a viable strategy for improving healthcare value and reducing expenditures in medical imaging for Medicare.
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