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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

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

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

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

Background:

Standardization in clinical documentation can increase efficiency and can 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 the Unified Medical Language System (UMLS).

Methods:

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

Results:

A total of 3710 forms items from 86 sources were semantically annotated using 842 unique UMLS concepts. Half of all medical concept occurrences were covered by 60 unique concepts, which suggests the existence of a core dataset of relevant concepts. Overlap percentages between forms were 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 European Society for Cardiology have not yet been fully implemented. Utilizing a standardized and annotated core dataset of the most important data concepts could make export and automatic reuse 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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