Improving the application of imaging clinical decision support tools: Making the complex simple

Joshua S. Broder*, Safwan S. Halabi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

With the promotion and incentivization of electronic health records and computerized order entry by CMS, there is a unique opportunity to catalyze the use of evidence-based guidelines with the inclusion of clinical decision support (CDS) tools. Imaging CDS tools have evolved from static paper algorithms, checklists, and scores to interactive systems that provide feedback and recommendations with the intent of directing health care providers to deliver best practices. Some of the major limitations of first generation imaging CDS tools include a lack of comprehensive evidence-based guidelines, limited ability to input detailed patient conditions and symptoms, and time-intensive user interfaces. Next-generation imaging CDS tools will attempt to close the information and interface gaps to provide more meaningful guidance to health care providers and improve the delivery of best practices to patients.

Original languageEnglish (US)
Pages (from-to)257-261
Number of pages5
JournalJournal of the American College of Radiology
Volume11
Issue number3
DOIs
StatePublished - Mar 2014
Externally publishedYes

Keywords

  • clinical decision support
  • Diagnostic imaging
  • electronic health record
  • evidence-based medicine
  • quality of health care

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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