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Impact and effect of imaging referral guidelines on patients and radiology services: a systematic review.

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Title: Impact and effect of imaging referral guidelines on patients and radiology services: a systematic review.
Authors: Tay, Yi Xiang1,2 (AUTHOR) yi.tay@ucdconnect.ie, Foley, Shane1 (AUTHOR), Killeen, Ronan3,4 (AUTHOR), Ong, Marcus E. H.5,6 (AUTHOR), Chen, Robert Chun6,7,8 (AUTHOR), Chan, Lai Peng6,9 (AUTHOR), Mak, May San6,9 (AUTHOR), McNulty, Jonathan P.1 (AUTHOR)
Source: European Radiology. Jan2025, Vol. 35 Issue 1, p532-541. 10p.
Subjects: Clinical decision support systems, Medical subject headings, Medical personnel, Medical care costs, Medical sciences
Abstract: Objectives: The objective of this systematic review was to offer a comprehensive overview and explore the associated outcomes from imaging referral guidelines on various key stakeholders, such as patients and radiologists. Materials and methods: An electronic database search was conducted in Medline, Embase and Web of Science to retrieve citations published between 2013 and 2023. The search was constructed using medical subject headings and keywords. Only full-text articles and reviews written in English were included. The quality of the included papers was assessed using the mixed methods appraisal tool. A narrative synthesis was undertaken for the selected articles. Results: The search yielded 4384 records. Following the abstract, full-text screening, and removal of duplication, 31 studies of varying levels of quality were included in the final analysis. Imaging referral guidelines from the American College of Radiology were most commonly used. Clinical decision support systems were the most evaluated mode of intervention, either integrated or standalone. Interventions showed reduced patient radiation doses and waiting times for imaging. There was a general reduction in radiology workload and utilisation of diagnostic imaging. Low-value imaging utilisation decreased with an increase in the appropriateness of imaging referrals and ratings and cost savings. Clinical effectiveness was maintained during the intervention period without notable adverse consequences. Conclusion: Using evidence-based imaging referral guidelines improves the quality of healthcare and outcomes while reducing healthcare costs. Imaging referral guidelines are one essential component of improving the value of radiology in the healthcare system. Clinical relevance statement: There is a need for broader dissemination of imaging referral guidelines to healthcare providers globally in tandem with the harmonisation of the application of these guidelines to improve the overall value of radiology within the healthcare system. Key Points: The application of imaging referral guidelines has an impact and effect on patients, radiologists, and health policymakers. The adoption of imaging referral guidelines in clinical practice can impact healthcare costs and improve healthcare quality and outcomes. Implementing imaging referral guidelines contributes to the attainment of value-based radiology. [ABSTRACT FROM AUTHOR]
Copyright of European Radiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Impact and effect of imaging referral guidelines on patients and radiology services: a systematic review.
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  Data: <searchLink fieldCode="AR" term="%22Tay%2C+Yi+Xiang%22">Tay, Yi Xiang</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> yi.tay@ucdconnect.ie</i><br /><searchLink fieldCode="AR" term="%22Foley%2C+Shane%22">Foley, Shane</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Killeen%2C+Ronan%22">Killeen, Ronan</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ong%2C+Marcus+E%2E+H%2E%22">Ong, Marcus E. H.</searchLink><relatesTo>5,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Robert+Chun%22">Chen, Robert Chun</searchLink><relatesTo>6,7,8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chan%2C+Lai+Peng%22">Chan, Lai Peng</searchLink><relatesTo>6,9</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mak%2C+May+San%22">Mak, May San</searchLink><relatesTo>6,9</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22McNulty%2C+Jonathan+P%2E%22">McNulty, Jonathan P.</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22European+Radiology%22">European Radiology</searchLink>. Jan2025, Vol. 35 Issue 1, p532-541. 10p.
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  Data: Objectives: The objective of this systematic review was to offer a comprehensive overview and explore the associated outcomes from imaging referral guidelines on various key stakeholders, such as patients and radiologists. Materials and methods: An electronic database search was conducted in Medline, Embase and Web of Science to retrieve citations published between 2013 and 2023. The search was constructed using medical subject headings and keywords. Only full-text articles and reviews written in English were included. The quality of the included papers was assessed using the mixed methods appraisal tool. A narrative synthesis was undertaken for the selected articles. Results: The search yielded 4384 records. Following the abstract, full-text screening, and removal of duplication, 31 studies of varying levels of quality were included in the final analysis. Imaging referral guidelines from the American College of Radiology were most commonly used. Clinical decision support systems were the most evaluated mode of intervention, either integrated or standalone. Interventions showed reduced patient radiation doses and waiting times for imaging. There was a general reduction in radiology workload and utilisation of diagnostic imaging. Low-value imaging utilisation decreased with an increase in the appropriateness of imaging referrals and ratings and cost savings. Clinical effectiveness was maintained during the intervention period without notable adverse consequences. Conclusion: Using evidence-based imaging referral guidelines improves the quality of healthcare and outcomes while reducing healthcare costs. Imaging referral guidelines are one essential component of improving the value of radiology in the healthcare system. Clinical relevance statement: There is a need for broader dissemination of imaging referral guidelines to healthcare providers globally in tandem with the harmonisation of the application of these guidelines to improve the overall value of radiology within the healthcare system. Key Points: The application of imaging referral guidelines has an impact and effect on patients, radiologists, and health policymakers. The adoption of imaging referral guidelines in clinical practice can impact healthcare costs and improve healthcare quality and outcomes. Implementing imaging referral guidelines contributes to the attainment of value-based radiology. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of European Radiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Jan2025
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