Evidence map›Paper›PMID 27473474›Full record

ReviewJournal of digital imaging2016

The Current State and Path Forward For Enterprise Image Viewing: HIMSS-SIIM Collaborative White Paper.

Christopher J Roth, Louis M Lannum, Donald K Dennison, Alexander J Towbin

Abstract readReviewConsensus Statement
In one paragraph

Review in Journal of digital imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. The Enterprise Imaging Value Proposition.Journal of digital imaging · 2020
    Review
  12. Article
  13. Review
  14. Review
  15. Review
  16. Review
  17. Multimedia-enhanced Radiology Reports: Concept, Components, and Challenges.Radiographics : a review publication of the Radiological Society of North America, Inc
    Review
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

4 authors.

Christopher J RothDuke Health Technology Solutions, Hock Plaza, 2424 Erwin Road, Durham, NC, 27705, USA. Christopher.roth@duke.edu.ORCID 0000-0002-9634-7126
Louis M LannumInformation Technology Division, Cleveland Clinic, 572 Lake Forest Dr., Bay Village, OH, 44140-2513, USA.
Donald K DennisonDon K Dennison Solutions Inc., 205 Fern Crescent, Waterloo, Ontario, Canada, N2V 2P9.
Alexander J TowbinDepartment of Radiology, Cincinnati Children's, 3333 Burnet Avenue, MLC 5031, Cincinnati, OH, 45229, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical specialties have widely varied needs for diagnostic image interpretation, and clinical image and video image consumption. Enterprise viewers are being deployed as part of electronic health record implementations to present the broad spectrum of clinical imaging and multimedia content created in routine medical practice today. This white paper will describe the enterprise viewer use cases, drivers of recent growth, technical considerations, functionality differences between enterprise and specialty viewers, and likely future states. This white paper is aimed at CMIOs and CIOs interested in optimizing the image-enablement of their electronic health record or those who may be struggling with the many clinical image viewers their enterprises may employ today.

Indexed as

Diagnostic ImagingElectronic Health RecordsManagement Information SystemsForecastingHumansMultimediaRadiology Information SystemsCardiac imagingCardiology PACSClinical image viewingDiagnostic imagingDigital imaging and communications in medicine (DICOM)Electronic medical record (EMR)Enterprise imagingEnterprise PACSImage displayImage distributionImage viewerImaging informaticsIntegrating healthcare enterprise (IHE)MultimediaPACS

Identifiers

PMID27473474
PMCPMC5023528

What Socratic 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 Socratic graph.