Evidence map›Paper›PMID 38753022›Full record

ArticleBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2024

[Interoperability Working Group: core dataset and information systems for data integration and data exchange in the Medical Informatics Initiative].

Danny Ammon, Maximilian Kurscheidt, Karoline Buckow, Toralf Kirsten, Matthias Löbe, Frank Meineke, Fabian Prasser, Julian Saß, Ulrich Sax, Sebastian Stäubert and 6 more

Abstract readEnglish Abstract
In one paragraph

Article in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

16 authors.

Danny AmmonDatenintegrationszentrum, Universitätsklinikum Jena, Jena, Deutschland.
Maximilian KurscheidtGECKO Institut für Medizin, Informatik und Ökonomie, Hochschule Heilbronn, Heilbronn, Deutschland.
Karoline BuckowTMF - Technologie- und Methodenplattform für die vernetzte medizinische Forschung e. V., Berlin, Deutschland.
Toralf KirstenInstitut für Medizinische Informatik, Statistik und Epidemiologie (IMISE), Universität Leipzig, Leipzig, Deutschland.
Matthias LöbeInstitut für Medizinische Informatik, Statistik und Epidemiologie (IMISE), Universität Leipzig, Leipzig, Deutschland.
Frank MeinekeInstitut für Medizinische Informatik, Statistik und Epidemiologie (IMISE), Universität Leipzig, Leipzig, Deutschland.
Fabian PrasserBerliner Institut für Gesundheitsforschung in der Charité - Universitätsmedizin Berlin, Berlin, Deutschland.
Julian SaßBerliner Institut für Gesundheitsforschung in der Charité - Universitätsmedizin Berlin, Berlin, Deutschland.
Ulrich SaxInstitut für Medizinische Informatik, Universitätsmedizin Göttingen, Göttingen, Deutschland.
Sebastian StäubertInstitut für Medizinische Informatik, Statistik und Epidemiologie (IMISE), Universität Leipzig, Leipzig, Deutschland.
Sylvia ThunBerliner Institut für Gesundheitsforschung in der Charité - Universitätsmedizin Berlin, Berlin, Deutschland.
Reto WettsteinInstitut für Medizinische Informatik, Universitätsklinikum Heidelberg, Heidelberg, Deutschland.
Joshua P WiedekopfInstitut für Medizinische Informatik & IT Center for Clinical Research, Universität zu Lübeck, Lübeck, Deutschland.
Judith A H WodkeInstitut für Community Medicine, Medizininformatik, MeDaX, Universitätsmedizin Greifswald, Greifswald, Deutschland.
Martin BoekerInstitut für Künstliche Intelligenz und Informatik in der Medizin, Klinikum rechts der Isar, Technische Universität München, München, Deutschland.
Thomas GanslandtLehrstuhl für Medizinische Informatik, Friedrich-Alexander-Universität Erlangen-Nürnberg, Wetterkreuz 15, 91058, Erlangen, Deutschland. thomas.ganslandt@fau.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The interoperability Working Group of the Medical Informatics Initiative (MII) is the platform for the coordination of overarching procedures, data structures, and interfaces between the data integration centers (DIC) of the university hospitals and national and international interoperability committees. The goal is the joint content-related and technical design of a distributed infrastructure for the secondary use of healthcare data that can be used via the Research Data Portal for Health. Important general conditions are data privacy and IT security for the use of health data in biomedical research. To this end, suitable methods are used in dedicated task forces to enable procedural, syntactic, and semantic interoperability for data use projects. The MII core dataset was developed as several modules with corresponding information models and implemented using the HL7® FHIR® standard to enable content-related and technical specifications for the interoperable provision of healthcare data through the DIC. International terminologies and consented metadata are used to describe these data in more detail. The overall architecture, including overarching interfaces, implements the methodological and legal requirements for a distributed data use infrastructure, for example, by providing pseudonymized data or by federated analyses. With these results of the Interoperability Working Group, the MII is presenting a future-oriented solution for the exchange and use of healthcare data, the applicability of which goes beyond the purpose of research and can play an essential role in the digital transformation of the healthcare system.

Indexed as

Health Information InteroperabilityDatasets as TopicElectronic Health RecordsGermanyHumansMedical InformaticsMedical Record LinkageSystems IntegrationData integration centerFHIRResearch data infrastructureSecondary UseTerminology services

Identifiers

PMID38753022
PMCPMC11166738

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.