Department of Radiology, Cincinnati Children's Hospital, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Department of Radiology, Duke University Medical Center, Durham, NC, USA.
J Digit Imaging. 2021 Feb;34(1):1-15. doi: 10.1007/s10278-020-00415-0. Epub 2021 Jan 22.
In order for enterprise imaging to be successful across a multitude of specialties, systems, and sites, standards are essential to categorize and classify imaging data. The HIMSS-SIIM Enterprise Imaging Community believes that the Digital Imaging Communications in Medicine (DICOM) Anatomic Region Sequence, or its equivalent in other data standards, is a vital data element for this role, when populated with standard coded values. We believe that labeling images with standard Anatomic Region Sequence codes will enhance the user's ability to consume data, facilitate interoperability, and allow greater control of privacy. Image consumption-when a user views a patient's images, he or she often wants to see relevant comparison images of the same lesion or anatomic region for the same patient automatically presented. Relevant comparison images may have been acquired from a variety of modalities and specialties. The Anatomic Region Sequence data element provides a basis to allow for efficient comparison in both instances. Interoperability-as patients move between health care systems, it is important to minimize friction for data transfer. Health care providers and facilities need to be able to consume and review the increasingly large and complex volume of data efficiently. The use of Anatomic Region Sequence, or its equivalent, populated with standard values enables seamless interoperability of imaging data regardless of whether images are used within a site or across different sites and systems. Privacy-as more visible light photographs are integrated into electronic systems, it becomes apparent that some images may need to be sequestered. Although additional work is needed to protect sensitive images, standard coded values in Anatomic Region Sequence support the identification of potentially sensitive images, enable facilities to create access control policies, and can be used as an interim surrogate for more sophisticated rule-based or attribute-based access control mechanisms. To satisfy such use cases, the HIMSS-SIIM Enterprise Imaging Community encourages the use of a pre-existing body part ontology. Through this white paper, we will identify potential challenges in employing this standard and provide potential solutions for these challenges.
为了使企业成像在多个专业、系统和站点中取得成功,标准对于对成像数据进行分类和分类至关重要。HIMSS-SIIM 企业成像社区认为,当使用标准编码值填充时,数字成像通信医学 (DICOM) 解剖区域序列或其他数据标准中的等效序列是此角色的重要数据元素。我们相信,使用标准解剖区域序列代码标记图像将增强用户使用数据的能力,促进互操作性,并允许更好地控制隐私。图像使用 - 当用户查看患者的图像时,他或她通常希望自动呈现同一患者同一病变或解剖区域的相关比较图像。相关的比较图像可能是从各种模式和专业采集的。解剖区域序列数据元素提供了一种基础,可以在这两种情况下实现高效比较。互操作性 - 当患者在医疗保健系统之间移动时,尽量减少数据传输的摩擦很重要。医疗保健提供者和设施需要能够高效地使用和审查越来越大且复杂的大量数据。使用解剖区域序列(或其等效序列),并用标准值填充,无论图像是在站点内使用还是在不同站点和系统之间使用,都可以实现成像数据的无缝互操作性。隐私 - 随着更多可见光照片被集成到电子系统中,很明显,某些图像可能需要被隔离。尽管需要做更多的工作来保护敏感图像,但解剖区域序列中的标准编码值支持潜在敏感图像的识别,使设施能够创建访问控制策略,并可以用作更复杂的基于规则或基于属性的访问控制机制的临时替代方案。为了满足这些用例,HIMSS-SIIM 企业成像社区鼓励使用现有的身体部位本体。通过本白皮书,我们将确定在使用此标准时可能遇到的潜在挑战,并为这些挑战提供潜在解决方案。