title: Research Data Explorer: Lessons Learned in Design and Development of Context-based Cohort Definition and Selection.
abstract: Research Data eXplorer (RedX) was designed to support self-service research data queries and cohort identification from clinical research databases. The primary innovation of RedX was the electronic health record view of patient data, to provide better contextual understanding for non-technical users in building complex data queries. The design of RedX around this need identified multiple functions that would use individual patient views to better understand population-based data, and vice-versa. During development, the more necessary and valuable components of RedX were refined, leading to a functional self-service query and cohort identification tool. However, with the improved capabilities and extensibility of other applications for data querying and navigation, our long-term implementation and dissemination plans have moved towards consolidation and alignment of RedX functions as enhancements in these other initiatives.
authors: Intermountain Healthcare, Salt Lake City, UT.
authors: Adam
authors: A
authors: Wilcox
authors: Columbia University, New York, NY.
authors: David
authors: D
authors: Vawdrey
authors: Columbia University, New York, NY.
authors: Chunhua
authors: C
authors: Weng
authors: Columbia University, New York, NY.
authors: Mark
authors: M
authors: Velez
authors: Columbia University, New York, NY.
authors: Suzanne
authors: S
authors: Bakken