Evidence map›Paper›PMID 38858261›Full record

ArticleJournal of imaging informatics in medicine2024

Report of the HIMSS-SIIM Enterprise Imaging Community Data Standards Evaluation Workgroup: Anatomic Ontology Assessment.

Dawn Cram, Monief Eid, Mitchell M Goldburgh, Jason Nagels, Lawrence Yudkovitch, Alexander J Towbin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of imaging informatics in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Dawn CramPaxeraHealth, 85 Wells Street, Newton, MA, 02459, USA.ORCID 0000-0002-7844-2402
Monief EidMinistry of Health, Riyadh, Saudi Arabia.
Mitchell M GoldburghIndustry Solution, NTT DATA Services, Plano, TX, USA.
Jason NagelsNagels Consulting, Newmarket, ON, Canada.ORCID 0000-0002-8815-6805
Lawrence Yudkovitch, Cleerly, New York, NY, USA.
Alexander J TowbinDepartment of Radiology, Cincinnati Children's Hospital, Cincinnati, OH, USA. alexander.towbin@cchmc.org.ORCID 0000-0003-1729-5071

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previously, the lack of a standard body part ontology has been identified as a critical deficiency needed to enable enterprise imaging. This whitepaper aims to provide a comprehensive assessment of anatomical ontologies with the aim of facilitating enterprise imaging. It offers an overview of the process undertaken by the Health Information Management Systems Society (HIMSS) and Society for Imaging Informatics in medicine (SIIM) Enterprise Imaging Community Data Standards Evaluation workgroup to assess the viability of existing ontologies for supporting cross-disciplinary medical imaging workflows. The report analyzes the responses received from representatives of three significant ontologies: SNOMED CT, LOINC, and ICD, and delves into their suitability for the complex landscape of enterprise imaging. It highlights the strengths and limitations of each ontology, ultimately concluding that SNOMED CT is the most viable solution for standardizing anatomy terminology across the medical imaging community.

Indexed as

Biological OntologiesAnatomyDiagnostic ImagingHumansMedical InformaticsSystematized Nomenclature of MedicineTerminology as TopicBody partEnterprise imagingMedical imagingOntologyStructured terminology

Identifiers

PMID38858261
PMCPMC11612098

What Socratic holds

Textmetadata
LicenceCC BY
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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.