Evidence map›Paper›PMID 21489187›Full record

ArticleDiagnostic pathology2011

Recent advances in standards for Collaborative Digital Anatomic Pathology.

Christel Daniel, François Macary, Marcial García Rojo, Jacques Klossa, Arvydas Laurinavičius, Bruce A Beckwith, Vincenzo Della Mea

Open access · goldAbstract read
In one paragraph

Article in Diagnostic pathology, 2011. 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
2.5field-weighted citation impact, top 10% of its field
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, 42 citations in OpenAlex.

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  15. Digital transplantation pathology: combining whole slide imaging, multiplex staining and automated image analysis.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2012
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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

7 authors at 6 institutions in 5 countries.

Christel DanielADICAP-INSERM, UMR_S 872 eq20 Paris, F-75006, France. christel.daniel@crc.jussieu.fr
François Macary
Marcial García Rojo
Jacques Klossa
Arvydas Laurinavičius
Bruce A Beckwith
Vincenzo Della Mea
Agence des Systèmes d’information Partagés de Santé · FRHospital General Universitario de Ciudad Real · ESInserm · FRNorth Shore Medical Center · USUniversity of Udine · ITVilnius University · LT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextCollaborative Digital Anatomic Pathology refers to the use of information technology that supports the creation and sharing or exchange of information, including data and images, during the complex workflow performed in an Anatomic Pathology department from specimen reception to report transmission and exploitation. Collaborative Digital Anatomic Pathology can only be fully achieved using medical informatics standards. The goal of the international integrating the Healthcare Enterprise (IHE) initiative is precisely specifying how medical informatics standards should be implemented to meet specific health care needs and making systems integration more efficient and less expensive.

objectiveTo define the best use of medical informatics standards in order to share and exchange machine-readable structured reports and their evidences (including whole slide images) within hospitals and across healthcare facilities.

methodsSpecific working groups dedicated to Anatomy Pathology within multiple standards organizations defined standard-based data structures for Anatomic Pathology reports and images as well as informatic transactions in order to integrate Anatomic Pathology information into the electronic healthcare enterprise.

resultsThe DICOM supplements 122 and 145 provide flexible object information definitions dedicated respectively to specimen description and Whole Slide Image acquisition, storage and display. The content profile "Anatomic Pathology Structured Report" (APSR) provides standard templates for structured reports in which textual observations may be bound to digital images or regions of interest. Anatomic Pathology observations are encoded using an international controlled vocabulary defined by the IHE Anatomic Pathology domain that is currently being mapped to SNOMED CT concepts.

conclusionRecent advances in standards for Collaborative Digital Anatomic Pathology are a unique opportunity to share or exchange Anatomic Pathology structured reports that are interoperable at an international level. The use of machine-readable format of APSR supports the development of decision support as well as secondary use of Anatomic Pathology information for epidemiology or clinical research.

Indexed as

Systems IntegrationHospital Information SystemsHumansMedical InformaticsTelepathology

Identifiers

PMID21489187
PMCPMC3073210
OpenAlexW2143409670

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.