This preprint is under consideration at BMC Medical Education. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
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Research article
Young-A Ji
Seoul National University School of Dentistry
Corresponding Author
ORCiD: https://orcid.org/0000-0003-3202-7809
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background
The expertise of dentists is very important since it improves the quality of dental services provided to patients. This study analyzed the characteristics of the decision-making process and confirmed dentists' electroencephalography(EEG) characteristics by measuring their cerebral activity during clinical decision making.
Methods
This study was performed in the following two projects: (1) A qualitative study of clinical decision making in a clinical scenario, (2) An analysis of differences in cortical activity of experts and novices through EEG.
Results
In the 1st study, this study found that 'confirmation of the patient's chief complaints', 'oral examination', and 'radiography reading' steps, which showed the most prominent differences in the experts' and novices' decision making, were set as the major steps of dentists' clinical decision making. In the 2nd study, the experts' and novices' cortical activities were measured through a 32-channel EEG. In task 6, which had the lowest accuracy of diagnoses made by the experts, the brain activities in both groups were higher than in other tasks.
Conclusions
This study aims to link learning and the cortical functions activated during dental experts' decision making in order to present learning directions for brain-based clinical decision making to develop experts.
Keywords
Clinical Decision making, EEG of Expert and Novice, Dentist’s Knowledge Model, Brain-based learning
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CURRENT STATUS: Under Review
Version 1
Posted 06 Aug, 2020
No community comments so far
Editorial decision: Reject before sending to peer reviewers
On 17 Feb, 2021
Editor assigned
On 11 Aug, 2020
Reviewers invited
Invitations sent on 11 Aug, 2020
Submission checks complete
On 04 Aug, 2020
Editor invited
On 04 Aug, 2020
First submitted
On 23 Jul, 2020
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This preprint is under consideration at BMC Medical Education. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research article
Young-A Ji
Seoul National University School of Dentistry
Corresponding Author
ORCiD: https://orcid.org/0000-0003-3202-7809
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 06 Aug, 2020
No community comments so far
Editorial decision: Reject before sending to peer reviewers
On 17 Feb, 2021
Editor assigned
On 11 Aug, 2020
Reviewers invited
Invitations sent on 11 Aug, 2020
Submission checks complete
On 04 Aug, 2020
Editor invited
On 04 Aug, 2020
First submitted
On 23 Jul, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background
The expertise of dentists is very important since it improves the quality of dental services provided to patients. This study analyzed the characteristics of the decision-making process and confirmed dentists' electroencephalography(EEG) characteristics by measuring their cerebral activity during clinical decision making.
Methods
This study was performed in the following two projects: (1) A qualitative study of clinical decision making in a clinical scenario, (2) An analysis of differences in cortical activity of experts and novices through EEG.
Results
In the 1st study, this study found that 'confirmation of the patient's chief complaints', 'oral examination', and 'radiography reading' steps, which showed the most prominent differences in the experts' and novices' decision making, were set as the major steps of dentists' clinical decision making. In the 2nd study, the experts' and novices' cortical activities were measured through a 32-channel EEG. In task 6, which had the lowest accuracy of diagnoses made by the experts, the brain activities in both groups were higher than in other tasks.
Conclusions
This study aims to link learning and the cortical functions activated during dental experts' decision making in order to present learning directions for brain-based clinical decision making to develop experts.
Figure 1
Figure 2
Figure 3
Figure 4
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