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Improving Billing Accuracy Through Enterprise-Wide Standardized Structured Reporting With Cross-Divisional Shared
Charlotte Y Chung1, Valeria Makeeva1, Jasper Yan2
1Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia.
Implementing standardized structured reporting for chest radiographs (CXRs) significantly increased adoption rates and saved radiologists time. This initiative also led to economic gains through improved correct-to-bill rates.
Area of Science:
- Radiology Informatics
- Health Services Research
- Clinical Workflow Optimization
Background:
- Standardized structured reporting is crucial for efficient and accurate medical imaging interpretation.
- Previous efforts in adopting structured reporting have shown variable success.
- Implementing enterprise-wide changes requires robust change management strategies.
Purpose of the Study:
- To detail the implementation of enterprise-wide standardized structured reporting for chest radiographs (CXRs).
- To assess the economic impact and radiologist time savings associated with structured template adoption.
- To evaluate the effectiveness of change management strategies in driving adoption.
Main Methods:
- Phased implementation of standardized structured CXR reporting (2016-2019) using division-specific and consensus templates.
- Tracking template usage over time to estimate radiologist time savings.
- Collecting correct-to-bill (CTB) rates for radiography and all radiology reports pre- and post-intervention.
Main Results:
- CXR structured template adoption increased from 46% to over 96% across two phases.
- Estimated radiologist time savings of 8.5 hours per month.
- Post-intervention CTB rates increased by 12% overall and 8% for radiography, with a 20% absolute difference for radiography.
Conclusions:
- Change management strategies successfully prompted adoption of standardized structured reporting templates.
- Auto-launching consensus templates ensured widespread adherence.
- Standardized structured reporting yielded significant economic benefits and projected radiologist time savings.
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