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Accepted for/Published in: JMIR Medical Informatics

Date Submitted: Mar 22, 2019
Open Peer Review Period: Mar 26, 2019 - May 8, 2019
Date Accepted: Jul 4, 2019
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Common Data Elements for Acute Coronary Syndrome: Analysis Based on the Unified Medical Language System

Kentgen M, Varghese J, Samol A, Waltenberger J, Dugas M

Common Data Elements for Acute Coronary Syndrome: Analysis Based on the Unified Medical Language System

JMIR Med Inform 2019;7(3):e14107

DOI: 10.2196/14107

PMID: 31444871

PMCID: 6729118

Common Data Elements of patients with acute coronary syndrome (ACS)

  • Markus Kentgen; 
  • Julian Varghese; 
  • Alexander Samol; 
  • Johannes Waltenberger; 
  • Martin Dugas

ABSTRACT

Background:

Standardization in clinical documentation can increase efficiency, save time and resources.

Objective:

The objectives of this work are to compare documentation forms for acute coronary syndrome (ACS), check for standardization and generate a list of the most common data elements using semantic form annotation with Unified Medical Language System (UMLS).

Methods:

86 sources from registries, studies, risk scores, quality assurance, official guidelines and routine documentation of four hospitals in Germany were semantically annotated. This allowed for automatic comparison of concept frequencies and generation of a list of most common concepts. 3.710 forms items were semantically annotated using 842 unique UMLS concepts.

Results:

Half of all medical concept occurrences are covered by 60 unique concepts, which suggests the existence of a core data set of relevant concepts. Overlap percentages between forms are relatively low, hinting at inconsistent documentation structures and lack of standardization.

Conclusions:

This analysis shows a lack of standardized and semantically enriched documentation for patients with ACS. Efforts made by official institutions like the ESC have not yet been fully implemented. Utilizing a standardized and annotated core data set of the most important data concepts could make export and automatic re-use of data easier. The generated list of common data elements is an exemplary implementation suggestion of the concepts to use in a standardized approach.


 Citation

Please cite as:

Kentgen M, Varghese J, Samol A, Waltenberger J, Dugas M

Common Data Elements for Acute Coronary Syndrome: Analysis Based on the Unified Medical Language System

JMIR Med Inform 2019;7(3):e14107

DOI: 10.2196/14107

PMID: 31444871

PMCID: 6729118

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