Evidence map›Paper›PMID 32210516›Full record

ArticleActa informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH2020

Advanced Interoperability Techniques: Structure Mapping Service in CrowdHEALTH Project.

Santiago Aso Lete, Carlos Cavero, Andriana Magdalinou, John Mantas, Lydia Montandon

Abstract read
In one paragraph

Article in Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Santiago Aso LeteATOS, Madrid, Spain.
Carlos CaveroATOS, Madrid, Spain.
Andriana MagdalinouEuropean Federation for Medical Informatics, Lausanne, Switzerland.
John MantasEuropean Federation for Medical Informatics, Lausanne, Switzerland.
Lydia MontandonATOS, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDue to healthcare information systems interoperability issues, health-related events may be missed. Numerous techniques based on medical standards and technologies have been recommended to address this challenge. Nevertheless, these techniques do not follow a holistic approach.

aimThe purpose of the paper is to present the structure mapping service which is developed in the context of the initial design of the interoperability solution of the CrowdHEALTH project.

methodsIn the CrowdHEALTH project, subcomponents responsible for providing the appropriate interoperability solution have been created with first the rule engine for the implementation of the business logic. Another subcomponent responsible for creating and managing the knowledge related to the link that exists between information structures, or mappings between them, is the Structure Mapping Service. The envisioned approach for structure mapping is based on ontology alignment. Besides, the Terminology Service is responsible for providing a set of operations on medical terminologies used for the coding of medical knowledge, which fills the information structures.

resultsWithin the development of the Structure Mapping component, the Ontology alignment process will be automated. Two phases exist when using the structure mapping service: the training phase and the run-time phase. In the training phase ontologies are created and are aligned, and data maps between the use case (source) data sets and the HHR Manager classes (target) are formed. Afterward, these data maps can be stored in the knowledge base. In the runtime phase, queries can be made to the structure mapping component by the data converter. The structure mapping controller can then access the Knowledge Base to retrieve the appropriate mapping and transformations and provide these as a response to the query.

conclusionsThe initial design of the advanced interoperability techniques is described with emphasis put to Structural Mapping service which can be easily deployed and seamlessly integrated into healthcare settings. This design will be assessed and further enriched during the project life circle.

Indexed as

Data StructuresInteroperabilityProject

Identifiers

PMID32210516
PMCPMC7085320

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.