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Expanding transplant outcomes research opportunities through the use of a common data model
Author(s) -
Cho Sylvia,
Mohan Sumit,
Husain Syed Ali,
Natarajan Karthik
Publication year - 2018
Publication title -
american journal of transplantation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.89
H-Index - 188
eISSN - 1600-6143
pISSN - 1600-6135
DOI - 10.1111/ajt.14892
Subject(s) - medicine , informatics , intensive care medicine , quality of life (healthcare) , longitudinal data , data science , data mining , computer science , nursing , electrical engineering , engineering
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.