This paper is in the following e-collection/theme issue:

Ontologies, Classifications, and Coding (239) Coronary Heart Disease (81)

Published on in Vol 7, No 3 (2019): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14107, first published .
Common Data Elements for Acute Coronary Syndrome: Analysis Based on the Unified Medical Language System

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

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

Authors of this article:

Markus Kentgen1 Author Orcid Image ;   Julian Varghese1 Author Orcid Image ;   Alexander Samol2 Author Orcid Image ;   Johannes Waltenberger2 Author Orcid Image ;   Martin Dugas1 Author Orcid Image
Article Authors Cited by (7) Tweetations (4) Metrics

Journals

  1. Elghafari A, Finkelstein J. Automated Identification of Common Disease-Specific Outcomes for Comparative Effectiveness Research Using ClinicalTrials.gov: Algorithm Development and Validation Study. JMIR Medical Informatics 2021;9(2):e18298 View
  2. Hegselmann S, Storck M, Gessner S, Neuhaus P, Varghese J, Bruland P, Meidt A, Mertens C, Riepenhausen S, Baier S, Stöcker B, Henke J, Schmidt C, Dugas M. Pragmatic MDR: a metadata repository with bottom-up standardization of medical metadata through reuse. BMC Medical Informatics and Decision Making 2021;21(1) View
  3. Berenspöhler S, Minnerup J, Dugas M, Varghese J. Common Data Elements for Meaningful Stroke Documentation in Routine Care and Clinical Research: Retrospective Data Analysis. JMIR Medical Informatics 2021;9(10):e27396 View
  4. Rodoreda-Pallàs B, Lumillo-Gutiérrez I, Miró Catalina Q, Torra Escarrer E, Sanahuja Juncadella J, Morin Fraile V. Recording of Social Determinants in Computerized Medical Records in Primary Care Consultations: Quasi-Experimental Study. JMIR Formative Research 2023;7:e41706 View
  5. Rafee A, Riepenhausen S, Neuhaus P, Meidt A, Dugas M, Varghese J. ELaPro, a LOINC-mapped core dataset for top laboratory procedures of eligibility screening for clinical trials. BMC Medical Research Methodology 2022;22(1) View
  6. Riepenhausen S, Blumenstock M, Niklas C, Hegselmann S, Neuhaus P, Meidt A, Püttmann C, Storck M, Ganzinger M, Varghese J, Dugas M. Europe's Largest Research Infrastructure for Curated Medical Data Models with Semantic Annotations. Methods of Information in Medicine 2024;63(01/02):052 View
  7. Meidt A, Walter C, Lehmann C, Dugas M. Medical researchers' perception of sharing of metadata from case report forms. Learning Health Systems 2024 View