Literature DB >> 31610322

Reason for exam Imaging Reporting and Data System (RI-RADS): A grading system to standardize radiology requisitions.

Aidin Abedi1, Salar Tofighi2, Sana Salehi3, Paul T Latterman4, Kyle D Basques5, Ali Gholamrezanezhad6.   

Abstract

Radiologists often encounter imaging requisitions that lack important information needed for accurate diagnostic studies. Reason for exam Imaging Reporting and Data System (RI-RADS) is proposed as a grading system for evaluation of the quality of clinically pertinent information provided in imaging requisitions. Three categories of information are suggested as key indicators of quality: impression, clinical findings, and the diagnostic question. This scheme is intended to improve the quality of imaging requisitions and overall patient care.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Communication; Diagnostic errors; Medical records; Patient care; Quality improvement; Radiology

Mesh:

Year:  2019        PMID: 31610322     DOI: 10.1016/j.ejrad.2019.108661

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  3 in total

1.  Clinical decision support system recommendations: how often do radiologists and clinicians accept them?

Authors:  Mor Saban; Jacob Sosna; Clara Singer; Sharona Vaknin; Vicki Myers; Dorit Shaham; Jacob Assaf; Alon Hershko; Paula Feder-Bubis; Rachel Wilf-Miron; Osnat Luxenburg
Journal:  Eur Radiol       Date:  2022-01-13       Impact factor: 5.315

2.  Coronavirus disease 2019 (COVID-19) imaging reporting and data system (COVID-RADS) and common lexicon: a proposal based on the imaging data of 37 studies.

Authors:  Sana Salehi; Aidin Abedi; Sudheer Balakrishnan; Ali Gholamrezanezhad
Journal:  Eur Radiol       Date:  2020-04-28       Impact factor: 5.315

3.  Imaging Findings of SARS-CoV-2 Infection in Pediatrics: A Systematic Review of Coronavirus Disease 2019 (COVID-19) in 850 Patients.

Authors:  Sanaz Katal; Sean K Johnston; Jennifer H Johnston; Ali Gholamrezanezhad
Journal:  Acad Radiol       Date:  2020-07-30       Impact factor: 3.173

  3 in total

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