Literature DB >> 30303784

Informatics Solutions for Driving an Effective and Efficient Radiology Practice.

Ankur M Doshi1, William H Moore1, Danny C Kim1, Andrew B Rosenkrantz1, Nancy R Fefferman1, Dana L Ostrow1, Michael P Recht1.   

Abstract

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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Year:  2018        PMID: 30303784     DOI: 10.1148/rg.2018180037

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  5 in total

Review 1.  Artificial Intelligence in Musculoskeletal Imaging: Current Status and Future Directions.

Authors:  Soterios Gyftopoulos; Dana Lin; Florian Knoll; Ankur M Doshi; Tatiane Cantarelli Rodrigues; Michael P Recht
Journal:  AJR Am J Roentgenol       Date:  2019-06-05       Impact factor: 3.959

2.  Optimizing the radiologist work environment: Actionable tips to improve workplace satisfaction, efficiency, and minimize burnout.

Authors:  Minu Agarwal; Christian B van der Pol; Michael N Patlas; Amar Udare; Andrew D Chung; Julian Rubino
Journal:  Radiol Med       Date:  2021-07-16       Impact factor: 3.469

Review 3.  Artificial Intelligence for the Future Radiology Diagnostic Service.

Authors:  Seong K Mun; Kenneth H Wong; Shih-Chung B Lo; Yanni Li; Shijir Bayarsaikhan
Journal:  Front Mol Biosci       Date:  2021-01-28

4.  Radiographers' actions and challenges when confronted with inappropriate radiology referrals.

Authors:  Catherine Chilute Chilanga; Hilde Merete Olerud; Kristin Bakke Lysdahl
Journal:  Eur Radiol       Date:  2022-01-06       Impact factor: 7.034

Review 5.  Artificial Intelligence in Spinal Imaging: Current Status and Future Directions.

Authors:  Yangyang Cui; Jia Zhu; Zhili Duan; Zhenhua Liao; Song Wang; Weiqiang Liu
Journal:  Int J Environ Res Public Health       Date:  2022-09-16       Impact factor: 4.614

  5 in total

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