Evidence map›Paper›PMID 30303784›Full record

ReviewRadiographics : a review publication of the Radiological Society of North America, Inc2018

Informatics Solutions for Driving an Effective and Efficient Radiology Practice.

Ankur M Doshi, William H Moore, Danny C Kim, Andrew B Rosenkrantz, Nancy R Fefferman, Dana L Ostrow, Michael P Recht

Abstract readReview
PubMed Publisher
In one paragraph

Review in Radiographics : a review publication of the Radiological Society of North America, Inc, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Artificial Intelligence in Spinal Imaging: Current Status and Future Directions.International journal of environmental research and public health · 2022
    Review
  8. Article
  9. Article
  10. Review
  11. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Ankur M DoshiFrom the Department of Radiology, NYU Langone Health, 660 1st Ave, 3rd Floor, New York, NY 10016.
William H MooreFrom the Department of Radiology, NYU Langone Health, 660 1st Ave, 3rd Floor, New York, NY 10016.
Danny C KimFrom the Department of Radiology, NYU Langone Health, 660 1st Ave, 3rd Floor, New York, NY 10016.
Andrew B RosenkrantzFrom the Department of Radiology, NYU Langone Health, 660 1st Ave, 3rd Floor, New York, NY 10016.ORCID http://orcid.org/0000-0002-1558-5350
Nancy R FeffermanFrom the Department of Radiology, NYU Langone Health, 660 1st Ave, 3rd Floor, New York, NY 10016.
Dana L OstrowFrom the Department of Radiology, NYU Langone Health, 660 1st Ave, 3rd Floor, New York, NY 10016.
Michael P RechtFrom the Department of Radiology, NYU Langone Health, 660 1st Ave, 3rd Floor, New York, NY 10016.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Efficiency, OrganizationalMedical Informatics ApplicationsElectronic Health RecordsHumansOrganizational InnovationOrganizational ObjectivesPractice Management, MedicalQuality ImprovementRadiology Department, HospitalRadiology Information SystemsWorkflow

Identifiers

PMID30303784

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.