Effectiveness of an e-Learning Platform for Image Interpretation Education of Medical Staff and Students.

Medical staff must be able to perform accurate initial interpretations of radiography to prevent diagnostic errors. Education in medical image interpretation is an ongoing need that is addressed by text-based and e-learning platforms. The effectiveness of these methods has been previously reported....

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Publicado en:Journal of Digital Imaging Vol. 31; no. 5; pp. 622 - 628
Autores principales: Ogura, Akio, Hayashi, Norio, Negishi, Tohru, Watanabe, Haruyuki
Formato: diagnostic images research tables/charts Journal Article
Publicado: Springer Nature Oct2018
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Oct2018
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      pub: Springer Nature
      place: New York, New York
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        atl: Effectiveness of an e-Learning Platform for Image Interpretation Education of Medical Staff and Students.
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          Ogura, Akio
          Hayashi, Norio
          Negishi, Tohru
          Watanabe, Haruyuki
        affil: Graduate School, Gunma Prefectural College of Health Sciences, 323-1, Kamioki-machi, Maebashi, Gunma, Japan
      sug:
        subj:
          Learning Methods
          Diagnostic Imaging Education
          Medical Staff Education
          Students, Medical
          Radiography, Thoracic
          Human
          Validity
      ab: Medical staff must be able to perform accurate initial interpretations of radiography to prevent diagnostic errors. Education in medical image interpretation is an ongoing need that is addressed by text-based and e-learning platforms. The effectiveness of these methods has been previously reported. Here, we describe the effectiveness of an e-learning platform used for medical image interpretation education. Ten third-year medical students without previous experience in chest radiography interpretation were provided with e-learning instructions. Accuracy of diagnosis using chest radiography was provided before and after e-learning education. We measured detection accuracy for two image groups: nodular shadow and ground-glass shadow. We also distributed the e-learning system to the two groups and analyzed the effectiveness of education for both types of image shadow. The mean correct answer rate after the 2-week e-learning period increased from 34.5 to 72.7%. Diagnosis of the ground glass shadow improved significantly more than that of the mass shadow. Education using the e-leaning platform is effective for interpretation of chest radiography results. E-learning is particularly effective for the interpretation of chest radiography images containing ground glass shadow.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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