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.
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 l...
| Publicado en: | Perspectives in Health Information Management pp. 1 - 28 |
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| Autores principales: | , |
| Formato: | pictorial tables/charts Journal Article |
| Publicado: |
American Health Information Management Association
Winter2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=94354595&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 94354595 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15594122 2QEL jtl: Perspectives in Health Information Management issn: 15594122 maglogo: N pubinfo: dt: Winter2014 pid: 6825 pub: American Health Information Management Association place: Chicago, Illinois artinfo: ui: 94354595 94354595 104024735 94354595 ppf: 1 ppct: 27 formats: fmt: @attributes: type: P tig: atl: 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. aug: au: Viangteeravat, Teeradache Rao Nagisetty, Naga Satya V. affil: Technical director, Biomedical Informatics Core, Children's Foundation Research Institute sug: subj: Clinical Research Data Warehouse Utilization Systems Design Hypothesis Medical Informatics Knowledge Data Analysis Data Display Metadata ab: 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. pubtype: Academic Journal doctype: pictorial tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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