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Developing an Interactive Data Visualization Tool to Assess the Impact of Decision Support on Clinical Operations.
Huber, Timothy C; Krishnaraj, Arun; Monaghan, Dayna; Gaskin, Cree M.
Afiliación
  • Huber TC; University of Virginia, Charlottesville, VA, USA.
  • Krishnaraj A; University of Virginia, Charlottesville, VA, USA. arunk@virginia.edu.
  • Monaghan D; University of Virginia, Charlottesville, VA, USA.
  • Gaskin CM; University of Virginia, Charlottesville, VA, USA.
J Digit Imaging ; 31(5): 640-645, 2018 10.
Article en En | MEDLINE | ID: mdl-29777325
Due to mandates from recent legislation, clinical decision support (CDS) software is being adopted by radiology practices across the country. This software provides imaging study decision support for referring providers at the point of order entry. CDS systems produce a large volume of data, providing opportunities for research and quality improvement. In order to better visualize and analyze trends in this data, an interactive data visualization dashboard was created using a commercially available data visualization platform. Following the integration of a commercially available clinical decision support product into the electronic health record, a dashboard was created using a commercially available data visualization platform (Tableau, Seattle, WA). Data generated by the CDS were exported from the data warehouse, where they were stored, into the platform. This allowed for real-time visualization of the data generated by the decision support software. The creation of the dashboard allowed the output from the CDS platform to be more easily analyzed and facilitated hypothesis generation. Integrating data visualization tools into clinical decision support tools allows for easier data analysis and can streamline research and quality improvement efforts.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radiología / Sistemas de Apoyo a Decisiones Clínicas / Registros Electrónicos de Salud / Visualización de Datos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Digit Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radiología / Sistemas de Apoyo a Decisiones Clínicas / Registros Electrónicos de Salud / Visualización de Datos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Digit Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos