Visual Evidence: Increasing Usability of Systematic Reviews in Health Systems Guidelines Development

Connor J. Smith, Rebecca M. Jungbauer, Annette M. Totten

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Background 'Integration of evidence from systematic reviews is an essential step in the development of clinical guidelines. The current practice for reporting uses a static structure that does not allow for dynamic investigation. A need exists for an alternate reporting modality to facilitate dynamic visualization of results to match different end-users' queries. Objectives 'We developed a dynamic visualization of data from a systematic review using the commercial product Tableau and assessed its potential to permit customized inquiries. Methods 'Data were selected and extracted from a previously completed systematic review. The resulting dataset was then used to develop an interactive, web-based report designed for use by a guidelines development committee. Results 'A novel example of combining existing reporting standards for systematic review data and modern reporting tools was developed to investigate potential benefits of a dynamic report. Demonstrations of the report to clinicians sitting on previous and future guideline committees received positive feedback for its potential benefit in guidelines development. The report received a runner-up award during the design challenge at the 2018 Workshop on Visual Analytics in Health Care. Conclusion 'The use of interactive, accessible data may increase the use of systematic reviews and aid decision makers in developing evidence-based practice changes.

Original languageEnglish (US)
Pages (from-to)743-750
Number of pages8
JournalApplied Clinical Informatics
Volume10
Issue number4
DOIs
StatePublished - 2019

Keywords

  • clinical informatics
  • clinical practice guidelines
  • data access
  • data visualization
  • evaluation
  • evidence-based medicine and nursing
  • guidelines and protocols
  • integration and analysis
  • systematic reviews

ASJC Scopus subject areas

  • Health Informatics
  • Computer Science Applications
  • Health Information Management

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