Evidence map›Paper›PMID 26872657›Full record

ArticleJournal of digital imaging2016

Using Object Storage Technology vs Vendor Neutral Archives for an Image Data Repository Infrastructure.

Brian Bialecki, James Park, Mike Tilkin

Abstract read
In one paragraph

Article 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

3 authors.

Brian BialeckiCIIP, American College of Radiology, 1818 Market Street Suite 1720, Philadelphia, PA, 19103, USA. bbialecki@acr.org.ORCID 0000-0003-1835-7449
James ParkHitachi Data Systems, Santa Clara, CA, USA.
Mike TilkinAmerican College of Radiology, 1891 Preston White Drive, Reston, VA, 20191, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The intent of this project was to use object storage and its database, which has the ability to add custom extensible metadata to an imaging object being stored within the system, to harness the power of its search capabilities, and to close the technology gap that healthcare faces. This creates a non-disruptive tool that can be used natively by both legacy systems and the healthcare systems of today which leverage more advanced storage technologies. The base infrastructure can be populated alongside current workflows without any interruption to the delivery of services. In certain use cases, this technology can be seen as a true alternative to the VNA (Vendor Neutral Archive) systems implemented by healthcare today. The scalability, security, and ability to process complex objects makes this more than just storage for image data and a commodity to be consumed by PACS (Picture Archiving and Communication System) and workstations. Object storage is a smart technology that can be leveraged to create vendor independence, standards compliance, and a data repository that can be mined for truly relevant content by adding additional context to search capabilities. This functionality can lead to efficiencies in workflow and a wealth of minable data to improve outcomes into the future.

Indexed as

Information Storage and RetrievalSystems IntegrationComputersComputer SecurityHumansRadiology Information SystemsClinical applicationData extractionEnterprise PACSImage databaseImage feature enhancementImaging informaticsInformation managementInformation storage and retrievalInformation visualizationInfrastructureIntegrating Healthcare Enterprise (IHE)PACS integrationPACS planningWorkflow re-engineering

Identifiers

PMID26872657
PMCPMC4942393

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.