Lai Eric K, Slavik Evan, Ganim Bessie, Perry Laurie A, Treuting Caitlin, Dee Troy, Osborne Melissa, Presley Cieara, Towbin Alexander J
Department of Radiology, Tufts University School of Medicine, Boston, USA.
Department of Radiology, Cincinnati Children's Hospital, Cincinnati, USA.
J Imaging Inform Med. 2025 Apr;38(2):671-680. doi: 10.1007/s10278-024-01236-1. Epub 2024 Aug 22.
The widespread availability of smart devices has facilitated the use of medical photography, yet photodocumentation workflows are seldom implemented in healthcare organizations due to integration challenges with electronic health records (EHR) and standard clinical workflows. This manuscript details the implementation of a comprehensive photodocumentation workflow across all phases of care at a large healthcare organization, emphasizing efficiency and patient safety. From November 2018 to December 2023, healthcare workers at our institution uploaded nearly 32,000 photodocuments spanning 54 medical specialties. The photodocumentation process requires as few as 11 mouse clicks and keystrokes within the EHR and on smart devices. Automation played a crucial role in driving workflow efficiency and patient safety. For example, body part rules were used to automate the application of a sensitive label to photos of the face, chest, external genitalia, and buttocks. This automation was successful, with over 50% of the uploaded photodocuments being labeled as sensitive. Our implementation highlights the potential for standardizing photodocumentation workflows, thereby enhancing clinical documentation, improving patient care, and ensuring the secure handling of sensitive images.
智能设备的广泛普及促进了医学摄影的应用，然而，由于与电子健康记录（EHR）和标准临床工作流程的集成挑战，医疗保健组织很少实施照片记录工作流程。本手稿详细介绍了一家大型医疗保健组织在护理各阶段全面实施照片记录工作流程的情况，强调了效率和患者安全。从2018年11月到2023年12月，我们机构的医护人员上传了近32,000份涵盖54个医学专业的照片文档。在EHR和智能设备上，照片记录过程只需少至11次鼠标点击和按键操作。自动化在提高工作流程效率和患者安全方面发挥了关键作用。例如，身体部位规则被用于自动在面部、胸部、外生殖器和臀部的照片上应用敏感标签。这种自动化很成功，超过50%的上传照片文档被标记为敏感。我们的实施突出了标准化照片记录工作流程的潜力，从而加强临床文档记录、改善患者护理并确保对敏感图像的安全处理。
