Evidence map›Paper›PMID 31828382›Full record

ReviewDer Radiologe2020

[Cross-enterprise interoperability : Challenges and principles for technical implementation].

J Bauer, S Rohner-Rojas, M Holderried

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Radiologe, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
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

3 authors.

J BauerGeschäftsbereich Informationstechnologie, Universitätsklinikum Tübingen, Hoppe-Seyler-Straße 9, 72076, Tübingen, Deutschland. jens.bauer@med.uni-tuebingen.de.
S Rohner-RojasGeschäftsbereich Informationstechnologie, Universitätsklinikum Tübingen, Hoppe-Seyler-Straße 9, 72076, Tübingen, Deutschland.
M HolderriedZentralbereich Medizin: Struktur‑, Prozess- und Qualitätsmanagement, Universitätsklinikum Tübingen, Tübingen, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Demographic change, the migration of medical professionals and economic constraints are leading to an increasing specialisation and concentration of resources in the healthcare sector. The digital mapping of cross-enterprise process chains between different medical care levels in turn requires digital networking and syntactical and semantical interoperability in information exchange. Cross-enterprise electronic patient records based on the Cross-Enterprise Document Sharing (XDS.b) integration profile defined by the Integrating the Healthcare Enterprise (IHE) initiative are the basis of the digital exchange of medical information between patients and service providers. Syntactical interoperability is ensured by the object definitions in the XDS Affinity domain and the Clinical Document Architecture (CDA) document format. Semantical interoperability is achieved by the use of standardized terminology and code systems. Terminology servers make it easy to deploy standard ontologies and translate proprietary code systems. New interoperability standards, e.g. based on Fast Healthcare Interoperability Resources (FHIR), are being developed to facilitate the exchange of structured medical information objects on mobile platforms in the future.

Indexed as

Systems IntegrationElectronic Health RecordsHumansClinical document architectureE‑HealthElectronic patient recordsIHE XDSTelemedicine

Identifiers

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.