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The role of computerized diagnostic proposals in the interpretation of the 12-lead electrocardiogram by cardiology and non-cardiology fellows

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F65269705%3A_____%2F17%3A00067068" target="_blank" >RIV/65269705:_____/17:00067068 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216224:14110/17:00096598

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S1386505617300382?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1386505617300382?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.ijmedinf.2017.02.007" target="_blank" >10.1016/j.ijmedinf.2017.02.007</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    The role of computerized diagnostic proposals in the interpretation of the 12-lead electrocardiogram by cardiology and non-cardiology fellows

  • Original language description

    Introduction: Most contemporary 12-lead electrocardiogram (ECG) devices offer computerized diagnostic proposals. The reliability of these automated diagnoses is limited. It has been suggested that incorrect computer advice can influence physician decision-making. This study analyzed the role of diagnostic proposals in the decision process by a group of fellows of cardiology and other internal medicine subspecialties. Materials and methods: A set of 100 clinical 12-lead ECG tracings was selected covering both normal cases and common abnormalities. A team of 15 junior Cardiology Fellows and 15 Non-Cardiology Fellows interpreted the ECGs in 3 phases: without any diagnostic proposal, with a single diagnostic proposal (half of them intentionally incorrect), and with four diagnostic proposals (only one of them being correct) for each ECG. Self-rated confidence of each interpretation was collected. Results: Availability of diagnostic proposals significantly increased the diagnostic accuracy (p &lt; 0.001). Nevertheless, in case of a single proposal (either correct or incorrect) the increase of accuracy was present in interpretations with correct diagnostic proposals, while the accuracy was substantially reduced with incorrect proposals. Confidence levels poorly correlated with interpretation scores (rho approximate to 2, p &lt; 0.001). Logistic regression showed that an interpreter is most likely to be correct when the ECG offers a correct diagnostic proposal (OR= 10.87) or multiple proposals (OR = 4.43). Conclusion: Diagnostic proposals affect the diagnostic accuracy of ECG interpretations. The accuracy is significantly influenced especially when a single diagnostic proposal (either correct or incorrect) is provided. The study suggests that the presentation of multiple computerized diagnoses is likely to improve the diagnostic accuracy of interpreters.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • 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

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    International Journal of Medical Informatics

  • ISSN

    1386-5056

  • e-ISSN

  • Volume of the periodical

    101

  • Issue of the periodical within the volume

    MAY 2017

  • Country of publishing house

    IE - IRELAND

  • Number of pages

    8

  • Pages from-to

    85-92

  • UT code for WoS article

    000400437200011

  • EID of the result in the Scopus database