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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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Applications of Artificial Intelligence in the Radiology Roundtrip: Process Streamlining, Workflow Optimization, and

Kevin Pierre1, Adam G Haneberg2, Sean Kwak3

  • 1Radiomics and Augmented Intelligence Laboratory (RAIL), Department of Radiology and the Norman Fixel Institute for Neurological Diseases, University of Florida College of Medicine, Gainesville, FL; Department of Radiology, University of Florida College of Medicine, Gainesville, FL.

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Artificial intelligence (AI) offers significant benefits in healthcare beyond diagnostics, enhancing patient care and operational efficiency. These AI tools streamline workflows from order entry to result communication, improving the overall patient journey.

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Area of Science:

  • Medical Imaging and Informatics
  • Healthcare Workflow Optimization
  • Artificial Intelligence in Medicine

Background:

  • Artificial intelligence (AI) applications in healthcare extend beyond diagnostic tasks.
  • AI tools can significantly improve the quality, safety, efficiency, and patient satisfaction within the radiology workflow.
  • The electronic radiology roundtrip and patient journey present numerous opportunities for AI-driven enhancements.

Conclusions:

  • Artificial intelligence (AI) presents a powerful toolkit for optimizing non-diagnostic aspects of the radiology workflow.
  • Implementing AI for process and workflow enhancement can significantly streamline clinical practice and improve patient care.
  • The strategic use of AI beyond diagnostics is crucial for advancing healthcare efficiency and patient experience.