title: Giving raw data a chance to talk: a demonstration of exploratory visual analytics with a pediatric research database using Microsoft Live Labs Pivot to promote cohort discovery, research, and quality assessment.
abstract: Secondary use of large and open data sets provides researchers with an opportunity to address high-impact questions that would otherwise be prohibitively expensive and time consuming to study. Despite the availability of data, generating hypotheses from huge data sets is often challenging, and the lack of complex analysis of data might lead to weak hypotheses. To overcome these issues and to assist researchers in building hypotheses from raw data, we are working on a visual and analytical platform called PRD Pivot. PRD Pivot is a de-identified pediatric research database designed to make secondary use of rich data sources, such as the electronic health record (EHR). The development of visual analytics using Microsoft Live Labs Pivot makes the process of data elaboration, information gathering, knowledge generation, and complex information exploration transparent to tool users and provides researchers with the ability to sort and filter by various criteria, which can lead to strong, novel hypotheses.
authors.affiliation: The Biomedical Informatics Core at the Children's Foundation Research Institute and assistant professor of biomedical informatics in the Department of Pediatrics at the University of Tennessee Health Science Center in Memphis, TN.
authors.forename: Teeradache
authors.initials: T
authors.lastname: Viangteeravat
authors.affiliation: The Children's Foundation Research Institute at Le Bonheur Children's Hospital in Memphis, TN.
authors.forename: Naga Satya V Rao
authors.initials: NS
authors.lastname: Nagisetty
mesh_terms: D035843:Biomedical Research / Q000458:organization & administration*; D016208:Databases, Factual; D057286:Electronic Health Records / Q000458:organization & administration; D063025:Health Information Management / Q000458:organization & administration*; D006801:Humans; D020407:Internet; D010372:Pediatrics; D014584:User-Computer Interface
keywords: biomedical informatics; clinical research; medical informatics; research data warehouse; translational research; visual analytics