Work

Research Data Explorer: Lessons Learned in Design and Development of Context-based Cohort Definition and Selection.

Year: 2015

Type: article

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.

Source: Europe PMC (PubMed Central)

Authors: Adam Wilcox, David Vawdrey, Chunhua Weng, Mark Velez, Suzanne Bakken

Institutions: Intermountain Healthcare, Columbia University

Language: English

Topic: Electronic Health Records Systems

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funder: U.S. National Library of Medicine

Award: Bridging the Semantic Gap Between Research Eligibility Criteria and Clinical Data