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Evaluating the Accuracy and Impact of the ESR-iGuide Decision Support Tool in Optimizing CT Imaging Referral Appropriateness

  • Osnat Luxenburg
  • , Sharona Vaknin
  • , Rachel Wilf-Miron
  • , Mor Saban

Research output: Contribution to journalArticlepeer-review

Abstract

Radiology referral quality impacts patient care, yet factors influencing quality are poorly understood. This study assessed the quality of computed tomography (CT) referrals, identified associated characteristics, and evaluated the ESR-iGuide clinical decision support tool’s ability to optimize referrals. A retrospective review analyzed 300 consecutive CT referrals from an acute care hospital. Referral quality was evaluated on a 5-point scale by three expert reviewers (inter-rater reliability κ = 0.763–0.97). The ESR-iGuide tool provided appropriateness scores and estimated radiation exposure levels for the actual referred exams and recommended exams. Scores were compared between actual and recommended exams. Associations between ESR-iGuide scores and referral characteristics, including the specialty of the ordering physician (surgical vs. non-surgical), were explored. Of the referrals, 67.1% were rated as appropriate. The most common exams were head and abdomen/pelvis CTs. The ESR-iGuide deemed 70% of the actual referrals “usually appropriate” and found that the recommended exams had lower estimated radiation exposure compared to the actual exams. Logistic regression analysis showed that non-surgical physicians were more likely to order inappropriate exams compared to surgical physicians. Over one-third of the referrals showed suboptimal quality in the unstructured system. The ESR-iGuide clinical decision support tool identified opportunities to optimize appropriateness and reduce radiation exposure. Implementation of such a tool warrants consideration to improve communication and maximize patient care quality.

Original languageEnglish
Pages (from-to)357-367
Number of pages11
JournalJournal of Imaging Informatics in Medicine
Volume38
Issue number1
DOIs
StatePublished - Feb 2025
Externally publishedYes

Bibliographical note

Publisher Copyright:
© The Author(s) 2024.

Keywords

  • CT scans
  • Clinical decision support
  • Decision tool
  • Radiology referrals
  • Referral quality

ASJC Scopus subject areas

  • Computer Science Applications
  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology

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