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Inform. med."],"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:p>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\u2019s 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 <jats:italic>\u03ba<\/jats:italic>\u2009=\u20090.763\u20130.97). 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 \u201cusually appropriate\u201d 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.<\/jats:p>","DOI":"10.1007\/s10278-024-01197-5","type":"journal-article","created":{"date-parts":[[2024,7,19]],"date-time":"2024-07-19T14:02:34Z","timestamp":1721397754000},"page":"357-367","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Evaluating the Accuracy and Impact of the ESR-iGuide Decision Support Tool in Optimizing CT Imaging Referral Appropriateness"],"prefix":"10.1007","volume":"38","author":[{"given":"Osnat","family":"Luxenburg","sequence":"first","affiliation":[]},{"given":"Sharona","family":"Vaknin","sequence":"additional","affiliation":[]},{"given":"Rachel","family":"Wilf-Miron","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6869-0907","authenticated-orcid":false,"given":"Mor","family":"Saban","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,7,19]]},"reference":[{"issue":"3","key":"1197_CR1","doi-asserted-by":"publisher","first-page":"252","DOI":"10.1016\/J.RADI.2018.03.005","volume":"24","author":"S Davies","year":"2018","unstructured":"Davies S, George A, Macallister A, et al. \u201cIt\u2019s all in the history\u201d: A service evaluation of the quality of radiological requests in acute imaging. 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