Camerad Technologies, LLC, Decatur, GA.
Department of Radiology and Imaging Science, Emory University School of Medicine, Atlanta, GA.
AJR Am J Roentgenol. 2020 Jan;214(1):68-71. doi: 10.2214/AJR.19.21719. Epub 2019 Oct 8.
Visible light images in the form of point-of-care photographs obtained at the time of medical imaging can be useful for detecting wrong-patient errors and providing image-related clinical context. Our goal was to implement a system to automatically obtain point-of-care patient photographs along with portable radiographs. We discuss one academic medical center's initial experience in integrating the system into the clinical workflow and initial use cases ranging from cardiothoracic and abdominal imaging to musculoskeletal imaging, for which such point-of-care photographs were deemed clinically beneficial.
在进行医学成像时获取的即时护理照片形式的可见光图像可用于检测错误患者错误并提供与图像相关的临床背景。我们的目标是实现一种系统,该系统可以自动获取即时护理患者照片以及便携式射线照片。我们讨论了一个学术医疗中心将该系统集成到临床工作流程中的初步经验,以及从心胸成像到肌肉骨骼成像等各种初始用例,对于这些用例,即时护理照片被认为具有临床益处。