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Informatics Solutions for Driving an Effective and Efficient Radiology Practice
Author(s) -
Ankur M. Doshi,
William H. Moore,
Daniel Kim,
Andrew B. Rosenkrantz,
Nancy R. Fefferman,
Dana Ostrow,
Michael P. Recht
Publication year - 2018
Publication title -
radiographics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.866
H-Index - 172
eISSN - 1527-1323
pISSN - 0271-5333
DOI - 10.1148/rg.2018180037
Subject(s) - workflow , medicine , software , process (computing) , dictation , interrupt , health care , computer science , embedded system , database , economic growth , economics , speech recognition , programming language , operating system , microcontroller
Radiologists are facing increasing workplace pressures that can lead to decreased job satisfaction and burnout. The increasing complexity and volumes of cases and increasing numbers of noninterpretive tasks, compounded by decreasing reimbursements and visibility in this digital age, have created a critical need to develop innovations that optimize workflow, increase radiologist engagement, and enhance patient care. During their workday, radiologists often must navigate through multiple software programs, including picture archiving and communication systems, electronic health records, and dictation software. Furthermore, additional noninterpretive duties can interrupt image review. Fragmented data and frequent task switching can create frustration and potentially affect patient care. Despite the current successful technological advancements across industries, radiology software systems often remain nonintegrated and not leveraged to their full potential. Each step of the imaging process can be enhanced with use of information technology (IT). Successful implementation of IT innovations requires a collaborative team of radiologists, IT professionals, and software programmers to develop customized solutions. This article includes a discussion of how IT tools are used to improve many steps of the imaging process, including examination protocoling, image interpretation, reporting, communication, and radiologist feedback. © RSNA, 2018.

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