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SCIENTIFIC PAPER

Selecting the Best Radiology Workflow Efficiency Applications

The increasing demand for medical imaging and shortage of radiology staff present a major challenge for global healthcare systems, resulting in heavy workloads for radiologists and longer waiting times for patients in need of imaging services.

This scientific paper introduces a framework that assists radiologists in evaluating and selecting workflow efficiency applications by examining crucial aspects such as:

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  • The extent of the solution's problem-solving capabilities

  • The robustness of its efficiency claims

  • The reliability and credibility of its evidence

  • The simplicity of incorporating it into existing systems

  • The user-friendliness of the application

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In addition, an approach to the quantification of the financial benefits of the applications is proposed.

Steven Blumer

"In addition to the 600 plus 510(k) cleared clinical diagnostic applications for radiology, there are many non-regulated applications, specifically designed to enhance workflow efficiency, resolve operational pain points and improve efficiency for practices worldwide.

However, selecting the most effective workflow efficiency applications is a major challenge due to the multitude of available solutions and unclear evaluation criteria.

This article provides a framework on how to structure workflow efficiency applications, objectively assess individual solutions as well as to help guide practices in curating workflow efficiency applications.

An approach is also presented to quantify the financial benefits generated by different types of workflow efficiency applications that can be leveraged for ROI calculations."

Dr. Steven Blumer
US Medical Affairs Digital Radiology Lead

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