Dataset Information

Perception on genetic testing in Korean medicine doctors: A mobile-based survey.

ABSTRACT: Background:Currently, genetic testing is widely used to understand individual characteristics. In Korea, genetic testing has been in use, but not actively in Korean Medicine (KM). To examine the perceptions of genetic testing, we performed online survey to Korean Medicine doctors (KMDs). Methods:The survey was a mobile-based study that was developed by 6 survey specialists based on electronic database search results. The questionnaire consisted of 6 categories: general characteristics of respondents, understanding of genetic testing, demand for using genetic testing, application field and utilization level of genetic testing, limitations of genetic testing, and plans and necessary efforts to begin using genetic testing based on an 11-point Likert scale. Results:With the response rate of 27.2% (n?=?544), 46.9% of respondents answered that they understood the definition and mechanism of genetic testing. About 80% of KMDs responded that they would be willing to use genetic testing results; a notable reason for this was the need for more objective and evidence-based test results. KMDs recognized that genetic testing could not only provide personalized treatment and care, but also help communicate with patients. Conclusions:This study observed KMDs' perceptions of the potential clinical benefits of genetic testing. We confirmed that development of genetic testing technology, knowledge of their use, and new technology-friendly policies are essential for expanding the genetic testing technology in Korean medicine.

SUBMITTER: Park S

PROVIDER: S-EPMC7581927 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature

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Perception on genetic testing in Korean medicine doctors: A mobile-based survey.

Park Sunju S Woo Seong-Cheon SC Ban Hyo-Jeong HJ Lee Siwoo S Kim Song-Yi SY Jin Hee-Jeong HJ

Integrative medicine research 20200812 2

<h4>Background</h4>Currently, genetic testing is widely used to understand individual characteristics. In Korea, genetic testing has been in use, but not actively in Korean Medicine (KM). To examine the perceptions of genetic testing, we performed online survey to Korean Medicine doctors (KMDs).<h4>Methods</h4>The survey was a mobile-based study that was developed by 6 survey specialists based on electronic database search results. The questionnaire consisted of 6 categories: general characteris ...[more]

PMID: 33117652

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Project description:Traditional Korean medicine (TKM) emphasizes individualized diagnosis and treatment. This uniqueness makes AI modeling difficult due to limited data and implicit processes. Large language models (LLMs) have demonstrated impressive medical inference, even without advanced training in medical texts. This study assessed the capabilities of GPT-4 in TKM, using the Korean National Licensing Examination for Korean Medicine Doctors (K-NLEKMD) as a benchmark. The K-NLEKMD, administered by a national organization, encompasses 12 major subjects in TKM. GPT-4 answered 340 questions from the 2022 K-NLEKMD. We optimized prompts with Chinese-term annotation, English translation for questions and instruction, exam-optimized instruction, and self-consistency. GPT-4 with optimized prompts achieved 66.18% accuracy, surpassing both the examination's average pass mark of 60% and the 40% minimum for each subject. The gradual introduction of language-related prompts and prompting techniques enhanced the accuracy from 51.82% to its maximum accuracy. GPT-4 showed low accuracy in subjects including public health & medicine-related law, internal medicine (2), and acupuncture medicine which are highly localized in Korea and TKM. The model's accuracy was lower for questions requiring TKM-specialized knowledge than those that did not. It exhibited higher accuracy in diagnosis-based and recall-based questions than in intervention-based questions. A significant positive correlation was observed between the consistency and accuracy of GPT-4's responses. This study unveils both the potential and challenges of applying LLMs to TKM. These findings underline the potential of LLMs like GPT-4 in culturally adapted medicine, especially TKM, for tasks such as clinical assistance, medical education, and research. But they also point towards the necessity for the development of methods to mitigate cultural bias inherent in large language models and validate their efficacy in real-world clinical settings.

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Dataset Information

Perception on genetic testing in Korean medicine doctors: A mobile-based survey.

Publications

Perception on genetic testing in Korean medicine doctors: A mobile-based survey.

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