Radiomics 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.
Radiomics and Augmented Intelligence Laboratory (RAIL), Department of Radiology and the Norman Fixel Institute for Neurological Diseases, University of Florida College of Medicine, Gainesville, FL; Division of Medical Physics, Department of Radiology, University of Florida College of Medicine, Gainesville, FL.
Semin Roentgenol. 2023 Apr;58(2):158-169. doi: 10.1053/j.ro.2023.02.003. Epub 2023 Mar 23.
There are many impactful applications of artificial intelligence (AI) in the electronic radiology roundtrip and the patient's journey through the healthcare system that go beyond diagnostic applications. These tools have the potential to improve quality and safety, optimize workflow, increase efficiency, and increase patient satisfaction. In this article, we review the role of AI for process improvement and workflow enhancement which includes applications beginning from the time of order entry, scan acquisition, applications supporting the image interpretation task, and applications supporting tasks after image interpretation such as result communication. These non-diagnostic workflow and process optimization tasks are an important part of the arsenal of potential AI tools that can streamline day to day clinical practice and patient care.
人工智能（AI）在电子放射学往返和患者在医疗保健系统中的旅程中有许多有影响力的应用，这些应用不仅仅局限于诊断应用。这些工具具有提高质量和安全性、优化工作流程、提高效率和提高患者满意度的潜力。在本文中，我们回顾了 AI 在流程改进和工作流程增强方面的作用，包括从订单录入、扫描采集、支持图像解释任务的应用以及支持图像解释后任务（如结果沟通）的应用。这些非诊断性工作流程和流程优化任务是潜在 AI 工具的重要组成部分，可简化日常临床实践和患者护理。
