↓ Skip to main content

ODM2CDA and CDA2ODM: Tools to convert documentation forms between EDC and EHR systems

Overview of attention for article published in BMC Medical Informatics and Decision Making, May 2015
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
36 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
ODM2CDA and CDA2ODM: Tools to convert documentation forms between EDC and EHR systems
Published in
BMC Medical Informatics and Decision Making, May 2015
DOI 10.1186/s12911-015-0163-5
Pubmed ID
Authors

Martin Dugas

Abstract

Clinical trials apply standards approved by regulatory agencies for Electronic Data Capture (EDC). Operational Data Model (ODM) from Clinical Data Interchange Standards Consortium (CDISC) is commonly used. Electronic Health Record (EHR) systems for patient care predominantly apply HL7 standards, specifically Clinical Document Architecture (CDA). In recent years more and more patient data is processed in electronic form. An open source reference implementation was designed and implemented to convert forms between ODM and CDA format. There are limitations of this conversion method due to different scope and design of ODM and CDA. Specifically, CDA has a multi-level hierarchical structure and CDA nodes can contain both XML values and XML attributes. Automated transformation of ODM files to CDA and vice versa is technically feasible in principle.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Arab Emirates 1 3%
Unknown 35 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 22%
Student > Master 5 14%
Student > Postgraduate 4 11%
Professor 3 8%
Student > Doctoral Student 2 6%
Other 6 17%
Unknown 8 22%
Readers by discipline Count As %
Computer Science 9 25%
Medicine and Dentistry 7 19%
Nursing and Health Professions 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Engineering 2 6%
Other 4 11%
Unknown 10 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 May 2015.
All research outputs
#13,086,769
of 22,807,037 outputs
Outputs from BMC Medical Informatics and Decision Making
#917
of 1,988 outputs
Outputs of similar age
#121,575
of 266,750 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#20
of 40 outputs
Altmetric has tracked 22,807,037 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,988 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 52% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 266,750 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.