event-icon
Description

Abstract: There is an increasing demand for rapid and consistent mapping of data elements to terminology standards to support data migration between clinical information systems. However, the level of detail used for representing clinical concepts in the source and target systems may not be the same. Furthermore, such translation relies heavily on domain experts’ knowledge and consistency in mapping. We have developed a framework for efficient mapping between two clinical data sets within two EMR systems using SNOMED CT hierarchical relationship.

Learning Objective 1: Enhance custom mapping of clinical concepts among EHR systems

Learning Objective 2: Evaluate a framework for using SNOMED hierarchical relationship for mapping clinical data with different levels of granularities

Authors:

Sina Madani (Presenter)
Vanderbilt University Medical Center

Shari Just, Vanderbilt University Medical Center
Scott Nelson, Vanderbilt University Medical Center
S Rosenbloom, Vanderbilt University Medical Center
Asli Weitkamp, Vanderbilt University Medical Center

Presentation Materials:

Tags