Department of Biomedical Informatics, Columbia University Medical Center, New York, NY, USA.
Division of Nephrology, Department of Medicine, Columbia University College of Physicians & Surgeons, New York, NY, USA.
Am J Transplant. 2018 Jun;18(6):1321-1327. doi: 10.1111/ajt.14892. Epub 2018 May 22.
The volume of solid organ transplant in the United States is increasing, providing improved quality of life and survival for patients with organ failure. The growth of transplant requires a systematized management of transplant outcomes assessment, especially with the movement toward value-based care. However, there are several challenges to analyzing outcomes in the current registry-based, transplant reporting system: (1) longitudinal data points are difficult to capture in outcomes models; (2) data elements are restricted to those that already exist in the registry data; and (3) there is a delay in the release of outcomes report. In this article, we propose an informatics approach to solve these problems by using a "common data model" to integrate disparate data sources, data elements, and temporal data points. Adopting such a framework can enable multicenter outcomes analyses among transplant centers, nationally and internationally.
美国实体器官移植数量不断增加，为器官衰竭患者提供了更高的生活质量和更长的生存时间。随着向基于价值的医疗保健的转变，移植的发展需要系统地管理移植结果评估。然而，当前基于登记的移植报告系统在分析结果方面存在一些挑战：（1）在结果模型中很难捕捉到纵向数据点；（2）数据元素仅限于登记数据中已有的数据；（3）结果报告的发布存在延迟。在本文中，我们提出了一种信息学方法，通过使用“通用数据模型”来整合不同的数据来源、数据元素和时间数据点来解决这些问题。采用这样的框架可以使移植中心在全国乃至国际范围内进行多中心的结果分析。
