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Everything Every Radiologist Always Wanted (and Needs) to Know About Clinical Decision Support
Max Wintermark1, Marc H Willis2, Jason Hom3
1Department of Radiology, Neuroradiology Section, Stanford University, Stanford, California.
Clinical decision support implementation is crucial for advanced diagnostic imaging in US health systems by January 2020. This review covers its history, benefits, challenges, and practical implementation strategies.
Area of Science:
- Health Informatics
- Medical Imaging
- Clinical Decision Support Systems
Background:
- Clinical decision support (CDS) is essential for optimizing advanced diagnostic imaging services.
- Implementation across US health systems was mandated by January 2020.
- Understanding the historical context and importance of CDS is vital.
Purpose of the Study:
- To review the history and importance of clinical decision support in advanced diagnostic imaging.
- To identify key hurdles in the implementation of CDS.
- To provide practical insights on implementation strategies, including pearls and pitfalls.
Main Methods:
- Literature review of clinical decision support systems.
- Analysis of historical trends in diagnostic imaging technology adoption.
- Discussion of implementation challenges and best practices.
Main Results:
- Clinical decision support has a significant impact on the appropriate use of advanced imaging.
- Numerous hurdles exist, including technical, workflow, and cultural barriers.
- Successful implementation requires careful planning and stakeholder engagement.
Conclusions:
- Effective clinical decision support is imperative for the future of advanced diagnostic imaging.
- Addressing implementation hurdles is key to realizing the full potential of CDS.
- Lessons learned can guide future deployment and optimization efforts.
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