Evidence map›Paper›PMID 25882034›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2015

Solving the interoperability challenge of a distributed complex patient guidance system: a data integrator based on HL7's Virtual Medical Record standard.

Carlos Marcos, Arturo González-Ferrer, Mor Peleg, Carlos Cavero

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. The standard problem.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  3. Review
  4. What Role Can Process Mining Play in Recurrent Clinical Guidelines Issues? A Position Paper.International journal of environmental research and public health · 2020
    Article
  5. Article
  6. Gestational Diabetes Management Using Smart Mobile Telemedicine.Journal of diabetes science and technology · 2018
    Observational
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. AMIA--Setting the Standard.Journal of the American Medical Informatics Association : JAMIA · 2015
    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

4 authors.

Carlos MarcosAtos Research & Innovation, Atos Spain S.A, Madrid, Spain carlos.marcos@atos.net carlos.cavero@atos.net.
Arturo González-FerrerInformation Systems, University of Haifa, Haifa, Israel.
Mor PelegInformation Systems, University of Haifa, Haifa, Israel.
Carlos CaveroAtos Research & Innovation, Atos Spain S.A, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe show how the HL7 Virtual Medical Record (vMR) standard can be used to design and implement a data integrator (DI) component that collects patient information from heterogeneous sources and stores it into a personal health record, from which it can then retrieve data. Our working hypothesis is that the HL7 vMR standard in its release 1 version can properly capture the semantics needed to drive evidence-based clinical decision support systems. MATERIALS AND

methodsTo achieve seamless communication between the personal health record and heterogeneous data consumers, we used a three-pronged approach. First, the choice of the HL7 vMR as a message model for all components accompanied by the use of medical vocabularies eases their semantic interoperability. Second, the DI follows a service-oriented approach to provide access to system components. Third, an XML database provides the data layer.Results The DI supports requirements of a guideline-based clinical decision support system implemented in two clinical domains and settings, ensuring reliable and secure access, high performance, and simplicity of integration, while complying with standards for the storage and processing of patient information needed for decision support and analytics. This was tested within the framework of a multinational project (www.mobiguide-project.eu) aimed at developing a ubiquitous patient guidance system (PGS). DISCUSSION: The vMR model with its extension mechanism is demonstrated to be effective for data integration and communication within a distributed PGS implemented for two clinical domains across different healthcare settings in two nations.

Indexed as

Decision Support Systems, ClinicalHealth Level SevenComputer Communication NetworksElectronic Health RecordsHumansMedical Record LinkageMedical Records Systems, ComputerizedSemanticsClinical Decision Support SystemsElectronic Health RecordsInteroperabilityStandardsVirtual Medical Record

Identifiers

PMID25882034
PMCPMC11737586

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.