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Learning by doing in medicine: Solution and configuration of virtual medical cases

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F19%3A50015750" target="_blank" >RIV/62690094:18450/19:50015750 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/8782273" target="_blank" >https://ieeexplore.ieee.org/document/8782273</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ISET.2019.00043" target="_blank" >10.1109/ISET.2019.00043</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Learning by doing in medicine: Solution and configuration of virtual medical cases

  • Original language description

    The field of medical education is characterized by existing tensions associated with possible errors and their negative consequences which reduce learning effectiveness. Diagnostics-related mistakes and errors represent a specific issue. Unfortunately, it is not an easy task to find an ideal solution which would deal with improving the diagnostic process. Based on the script theory, this study outlines a proposal how to ameliorate diagnostic reasoning. As possibility to work with good teaching cases has been traditionally limited by time and chance, virtual patients have been used as a tool for enhancement of student learning experience. That is why this paper presents a proposal of a knowledge-based system for evaluation of diagnostic abilities of medical students. It is grounded in branch-oriented model that support evaluation of students&apos; flow of ideas during the diagnostic process. Description of primary inputs, process model, evaluation procedure and a method for configuring a virtual patient case is provided. The system enables students to focus on the interpretation of the case and usage of relevant knowledge while information and given decision making choices like in real diagnostic cases are presented. By fostering the acquisition of &apos;negative knowledge&apos; about typical cognitive errors in the medical reasoning process, the system supports learners in avoiding future erroneous decisions and actions in similar situations.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings - 2019 International Symposium on Educational Technology, ISET 2019

  • ISBN

    978-1-72813-387-4

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    170-174

  • Publisher name

    Institute of Electrical and Electronics Engineers Inc.

  • Place of publication

    New Jersey, USA

  • Event location

    Hradec Králové

  • Event date

    Jul 2, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article