Evidence map›Paper›PMID 34255217›Full record

ArticleJournal of digital imaging2021

There's a New Sheriff in Town: When Enterprise IT Takes Over Imaging IT.

Don K Dennison, Robert M Coleman, Ryan Fallon, Michael Toland, Richard Skip L Kennedy, Brittany Tomlin

Abstract read
In one paragraph

Article in Journal of digital imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Don K Dennison, Waterloo, Canada. don@dondennison.com.ORCID 0000-0002-2533-3413
Robert M Coleman, Waterloo, Canada.
Ryan Fallon, Waterloo, Canada.
Michael Toland, Waterloo, Canada.
Richard Skip L Kennedy, Waterloo, Canada.
Brittany Tomlin, Waterloo, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The consolidation of information technology (IT) teams from individual facilities to an enterprise-wide reporting structure and the transition of IT staff from operating within a diagnostic imaging department, such as Radiology, to an enterprise IT group is common. The plan to optimize this workforce can have undesirable and unintended consequences, if not done correctly. For those organizations seeking to optimize their workforce to deliver the best possible IT services, including to areas that produce and use medical imaging, this can be an exercise of balancing specialized knowledge and centralized staffing capacity planning. Successfully blending staff that have developed through careers in either general or imaging IT areas into a single team structure requires an understanding of their traditional attitudes, priorities, and skill sets. This paper explores the historic similarities and differences in the skill sets and work cultures between imaging and Enterprise IT, and how to use both to deliver the best outcomes.

Indexed as

RadiologyRadiology Information SystemsDiagnostic ImagingHumansInformation TechnologyDiagnosticEnterpriseImagingITManagementStrategy

Identifiers

PMID34255217
PMCPMC8455794

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.