Transforming Radiology Practice Through Intelligent Reporting, Workflow Optimization, and Management of Incidental Findings: A Comprehensive Literature Review
1. Adebayo Ogunleye, University of Lagos, Student, Nigeria
2. Chinedu Simon, University of Lagos, Professor, Nigeria
Radiology has undergone a significant transformation driven by the increasing complexity of imaging modalities, growing examination volumes, and the demand for higher diagnostic accuracy and efficiency. Central to this evolution are advancements in radiology report generation, workflow optimization, standardization of reporting practices, and the clinical management of incidental findings. This review synthesizes contemporary research to examine how intelligent reporting systems and optimized information management platforms enhance radiology operations and user satisfaction. Additionally, it explores the role of standardized reporting in improving communication, reducing variability, and supporting clinical decision-making. The review further addresses the growing challenge of incidental findings, emphasizing their prevalence, clinical relevance, and implications for patient care and healthcare resource utilization. By integrating these dimensions, this paper provides a comprehensive overview of current developments and identifies critical areas for future improvement in radiology practice.
Radiology report generation workflow optimization in radiology standardized radiological reporting incidental findings management diagnostic imaging efficiency
Radiology is undergoing a profound transformation driven by the need for efficiency, consistency, and clinical relevance. Advances in report generation, workflow optimization, and standardized reporting have demonstrated significant potential to improve diagnostic quality and operational performance. At the same time, the growing prevalence of incidental findings highlights the importance of structured communication and judicious clinical decision-making. Together, these developments point toward a more integrated, value-oriented radiology practice that balances technological innovation with patient-centered care. Continued refinement and adoption of these approaches will be essential for addressing future challenges in diagnostic imaging.
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The author takes full responsibility for the entire study process, including design, data collection, analysis, and manuscript writing.
The research, authorship, and publication of this article were not funded by any specific grants from public, commercial, or non-profit agencies.
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No conflicts of interest are reported by the authors.
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