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Structured reporting in radiology

Record Type:	Electronic resources : Monograph/item
Title/Author:	Structured reporting in radiologyedited by Mansoor Fatehi, Daniel Pinto dos Santos.
other author:	Fatehi, Mansoor.
Published:	Cham :Springer International Publishing :2022.
Description:	vii, 183 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Medical recordsData processing.
Online resource:	https://doi.org/10.1007/978-3-030-91349-6
ISBN:	9783030913496$q(electronic bk.)

Structured reporting in radiology
Structured reporting in radiology[electronic resource] /edited by Mansoor Fatehi, Daniel Pinto dos Santos. - Cham :Springer International Publishing :2022. - vii, 183 p. :ill., digital ;24 cm. - Imaging informatics for healthcare professionals,2662-155X. - Imaging informatics for healthcare professionals..

This book provides practitioners and scientists with insights into diverse aspects of structured reporting to allow them to develop tools and a knowledge base to ensure that this electronic reporting trend is widely applied. After an introduction to reporting in radiology, various parts of structured reporting are discussed in detail, including an overview of standardized reporting systems, standardized reporting language, DICOM structured reporting, template based structured reporting, and modular reporting. The last chapter addresses the interaction of structured reporting with artificial intelligence and its impact on the future of radiology. The last chapter addresses the interaction of structured reporting with artificial intelligence and its impact on the future of radiology. Endorsed by the European Society of Medical Imaging Informatics (EuSoMII), the scope of the book is based on the Medical Imaging Informatics sub-sections of the European Society of Radiology (ESR) European Training Curriculum Level I and II. It is a valuable resource for residents, radiologists and students.

ISBN: 9783030913496$q(electronic bk.)

Standard No.: 10.1007/978-3-030-91349-6doiSubjects--Topical Terms:

302799
Medical records
--Data processing.

LC Class. No.: R864 / .S77 2022

Dewey Class. No.: 610.285

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