title: The evaluation of an open source online training system for teaching 12 lead electrocardiographic interpretation.
abstract: The aim of this study is to present and evaluate the integration of a low resource JavaScript based ECG training interface (CrowdLabel) and a standardised curriculum for self-guided tuition in ECG interpretation.
  
  
  
  Participants practiced interpreting ECGs weekly using the CrowdLabel interface to assist with the learning of the traditional didactic taught course material during a 6 week training period. To determine competency students were tested during week 7.
  
  
  
  A total of 245 unique ECG cases were submitted by each student. Accuracy scores during the training period ranged from 0-59.5% (median = 33.3%). Conversely accuracy scores during the test ranged from 30 - 70% (median = 37.5%) (p < 0.05). There was no correlation between students who interpreted high numbers of ECGs during the training period and their marks obtained.
  
  
  
  CrowdLabel is shown to be a readily accessible dedicated learning platform to support ECG interpretation competency.
authors.affiliation: School of Health Sciences, University of Ulster, Shore Road, Newtownabbey, N. Ireland. Electronic address: cj.breen@ulster.ac.uk.
authors.forename: Cathal
authors.initials: C
authors.lastname: Breen
authors.affiliation: Institute of Biomedical Engineering, Department of Engineering science, University of Oxford, Oxford, UK.
authors.forename: Tingting
authors.initials: T
authors.lastname: Zhu
authors.affiliation: School of Computing and Mathematics, University of Ulster, Shore Road, Newtownabbey, N. Ireland.
authors.forename: Raymond
authors.initials: R
authors.lastname: Bond
authors.affiliation: School of Engineering, University of Ulster, Shore Road, Newtownabbey, N. Ireland.
authors.forename: Dewar
authors.initials: D
authors.lastname: Finlay
authors.affiliation: Department of Biomedical Informatics, Emory University & Georgia Institute of Technology; Department of Biomedical Engineering, Emory University & Georgia Institute of Technology.
authors.forename: Gari
authors.initials: G
authors.lastname: Clifford
mesh_terms: D002309:Cardiology / Q000193:education* / Q000706:statistics & numerical data; D003194:Computer-Assisted Instruction / Q000379:methods*; D003479:Curriculum; D003936:Diagnosis, Computer-Assisted / Q000706:statistics & numerical data; D004521:Educational Measurement / Q000706:statistics & numerical data*; D004522:Educational Status; D004562:Electrocardiography / Q000379:methods / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D020407:Internet / Q000706:statistics & numerical data*; D008297:Male; D009862:Online Systems; D012984:Software; D013663:Teaching; D006113:United Kingdom; D055815:Young Adult
keywords: Assessment; E Learning; ECG; Healthcare Science; Pedagogy