Have you experienced symptoms of burnout or do you have a colleague that has? With nearly one in two U.S. physicians reporting at least one symptom of burnout, chances are you have.1 Notably, burnout rates have been dramatically increasing among radiology professionals, who must read more images than ever before with less time to interpret. AI solutions have the potential to address this crisis, but these new solutions must be seamless and easy to integrate into your workflow – extra steps that create additional work will not be tolerated.
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AuntMinnie.com RSNA 2019 video interview with Dr. Jay Parikh of MD Anderson Cancer Center discussing recent survey results that found high levels of burnout in radiology.
To underscore the significance of this issue, the American College of Radiology issued a statement highlighting that “radiology professionals are at greater risk for burnout than most other physicians. The challenges include isolation in the reading room environment, productivity demands, implementation of the electronic medical record and PACS, the regulatory environment, and the fact that their role in the health care team is often not understood.”2 According to a recent study published in the Journal of the American College of Radiology, 77% of radiology practice leaders view burnout as a “significant” or “very significant” problem.3
New AI technologies that augment and empower care providers to get back to doing what they trained for and enjoy doing can begin to transform healthcare and address the rise in physician burnout, particularly among radiologists. A recent MIT Technology Review poll of healthcare professionals in the US and the UK found that “86% of survey respondents who have adopted AI report that the technology has helped their institutions analyze and make use of data, and 79% indicate that it has helped avert healthcare worker burnout.” 4
Both GE Healthcare and MaxQ AI are committed to ushering in a new era of AI-augmented healthcare through a comprehensive, seamless, and secure platform of patient-level medical diagnostic solutions. By leveraging AI-based applications with an understanding of how to do so, and with proper tools to seamlessly incorporate these applications into existing workflows, we are helping healthcare organizations to orchestrate the radiology reading workflows of the future. The end result will be to provide a new, integrated, and unified user experience to empower care providers around the world to better prioritize life-threatening conditions such as stroke and head trauma – while helping to alleviate burnout. This can in turn elevate patient care as well as the satisfaction level of clinicians.
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