Evidence map›Paper›PMID 23620720›Full record

ArticleApplied clinical informatics2012

Multilingual Medical Data Models in ODM Format: A Novel Form-based Approach to Semantic Interoperability between Routine Healthcare and Clinical Research.

B Breil, J Kenneweg, F Fritz, P Bruland, D Doods, B Trinczek, M Dugas

Abstract read
In one paragraph

Article in Applied clinical informatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Understanding the Nature of Metadata: Systematic Review.Journal of medical Internet research · 2022
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Portal of medical data models: information infrastructure for medical research and healthcare.Database : the journal of biological databases and curation · 2016
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Creating a data exchange strategy for radiotherapy research: towards federated databases and anonymised public datasets.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2014
    Review
  12. Article
  13. Validating archetypes for the Multiple Sclerosis Functional Composite.BMC medical informatics and decision making · 2014
    Article
  14. Article
  15. Article
  16. 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

7 authors.

B BreilInstitute of Medical Informatics, University of Münster , Germany.
J Kenneweg
F Fritz
P Bruland
D Doods
B Trinczek
M Dugas

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSemantic interoperability between routine healthcare and clinical research is an unsolved issue, as information systems in the healthcare domain still use proprietary and site-specific data models. However, information exchange and data harmonization are essential for physicians and scientists if they want to collect and analyze data from different hospitals in order to build up registries and perform multicenter clinical trials. Consequently, there is a need for a standardized metadata exchange based on common data models. Currently this is mainly done by informatics experts instead of medical experts.

objectivesWe propose to enable physicians to exchange, rate, comment and discuss their own medical data models in a collaborative web-based repository of medical forms in a standardized format.

methodsBased on a comprehensive requirement analysis, a web-based portal for medical data models was specified. In this context, a data model is the technical specification (attributes, data types, value lists) of a medical form without any layout information. The CDISC Operational Data Model (ODM) was chosen as the appropriate format for the standardized representation of data models. The system was implemented with Ruby on Rails and applies web 2.0 technologies to provide a community based solution. Forms from different source systems - both routine care and clinical research - were converted into ODM format and uploaded into the portal.

resultsA portal for medical data models based on ODM-files was implemented (http://www.medical-data-models.org). Physicians are able to upload, comment, rate and download medical data models. More than 250 forms with approximately 8000 items are provided in different views (overview and detailed presentation) and in multiple languages. For instance, the portal contains forms from clinical and research information systems.

conclusionThe portal provides a system-independent repository for multilingual data models in ODM format which can be used by physicians. It serves as a platform for discussion and enables the exchange of multilingual medical data models in a standardized way.

Indexed as

CDISC ODMform exchangeform repositorySemantic interoperability

Identifiers

PMID23620720
PMCPMC3613023

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.