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Scale Can Improve the Clinical Value of Radiology Practices

Authors :
Syed Furqan Zaidi
Upma Rawal
Dean Chauvin
Jay Bronner
Kottler Nina
Liang Joyce
Aaron Huang
Richard E. Heller
Source :
Journal of the American College of Radiology : JACR. 17(3)
Publication Year :
2019

Abstract

Radiology is participating in the recent consolidation trend. Larger practices can invest in the infrastructure and teams to help improve the clinical value of the services they deliver. An example of national practice is provided that leverages its scale to promote clinical best practices aimed at reducing variability in the recommendations radiologists make for common imaging findings. This is accomplished by promoting the culture of learning and collaboration. In some initiatives, developing a machine learning tool to facilitate the application of clinical algorithms at the point of dictation facilitates the adoption of the recommendations. Regular feedback on practice and individual performance promotes improvement in performance and personal satisfaction of the clinicians. Cost savings through the reduction of unnecessary imaging studies or invasive procedures as well as improved outcomes through evidence-based follow-up have been achieved. In some cases, reductions in the rupture rate of abdominal aortic aneurysms have been realized through clinical follow-up programs. Embracing a culture of continuous learning through peer learning can lay the foundation for sharing clinical best practices. Having access to the benefits of scale in the form of investment in data, analytics, project management, and machine learning tools can facilitate the process of creating clinical value for our patients.

Details

ISSN :
1558349X
Volume :
17
Issue :
3
Database :
OpenAIRE
Journal :
Journal of the American College of Radiology : JACR
Accession number :
edsair.doi.dedup.....c7fbd8314d231057ed2ac057a7443b95