Dataset Information

Perception of cold and heat pattern identification in diseases: a survey of Korean medicine doctors.

ABSTRACT:

Background

This study aimed to investigate the extent to which Korean Medicine doctors consider cold and heat pattern identification when prescribing herbal treatment for a disease.

Methods

A survey was sent by e-mail to 15,841 members of the Association of Korean Medicine for whom member information was registered. Of these, 699 (4.4%) members participated in the survey. The survey included questions regarding the frequency of use of cold and heat pattern identification in deciding a herbal treatment prescription, the diseases for which cold and heat pattern identification-related herbal treatment was most efficacious, the type of herbal treatment prescribed, and the duration of the treatment.

Results

Of the 699 respondents, 591 (84.5%) reported that they considered cold and heat when prescribing herbal treatment. The diseases for which consideration of cold and heat patterns was effective were, in order, menopausal disorder (124, 18.3%), chronic rhinitis (98, 14.5%), dyspepsia (94, 13.9%), hwa-byung (92, 13.6%), diarrhea (83, 12.3%), dysmenorrhea (61, 9.0%), headache (59, 8.7%), inflammation in the digestive tract (58, 8.6%), coldness in hands and feet (58, 8.6%), and atopic dermatitis (55, 8.1%). The typical treatment duration differed widely for different diseases: atopic dermatitis was most frequently treated for >2 months (38, 34.5%), whereas diarrhea was most frequently treated for ? 10 days (73, 43.6%).

Conclusion

These findings indicate that cold and heat pattern identification is a useful tool employed by Korean Medicine doctors. This study may provide a basis for clinical research investigating the effect of pattern identification-based treatment of diseases.

SUBMITTER: Bae KH

PROVIDER: S-EPMC5395675 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Perception of cold and heat pattern identification in diseases: a survey of Korean medicine doctors.

Bae Kwang-Ho KH Lee Youngseop Y Park Ki-Hyun KH Yoon Youngheum Y Mun Sujeong S Lee Siwoo S

Integrative medicine research 20161118 1

<h4>Background</h4>This study aimed to investigate the extent to which Korean Medicine doctors consider cold and heat pattern identification when prescribing herbal treatment for a disease.<h4>Methods</h4>A survey was sent by e-mail to 15,841 members of the Association of Korean Medicine for whom member information was registered. Of these, 699 (4.4%) members participated in the survey. The survey included questions regarding the frequency of use of cold and heat pattern identification in decidi ...[more]

PMID: 28462141

Similar Datasets

Project description:BackgroundNew challenges in the medical field of the third millennium emphasise the "humanization of medicine" leading to a redefinition of doctors' values, limits and roles. The study aims to assess whether there are different personality dimensions of physicians in relation to their perception of professional values and public expectations.MethodsA questionnaire on the perception of professional values and the opinion on work in the medical field, work relationships and public expectations was administered to 374 doctors attending Continuing Medical Education courses.ResultsTwo personality dimensions were identified: the first dimension (which we termed "Performance Attainment") is associated preeminently with values of competence, advocacy, confidentiality, spirit of enquiry, integrity, responsibility and commitment; the second dimension (which we called "Personal Involvement") focuses on concern and compassion. The doctors that have more difficulty accepting judgements on their activity are those who think that "Performance attainment" is less important (β = 6.01; p-value = 0.007). Instead, the doctors who believe "public expectation of the health system" is not high enough, tend to think that "Performance Attainment" is more important (β = -6.08; p-value = 0.024). The less importance is given to the values of "Personal Involvement", the less is the doctor's perception of having a leading role in respect to other health professionals (β = -2.37; p-value = 0.018).ConclusionsOur results demonstrate that there are two different attitudes in terms of recognition and selection of the essential values to better practice the medical profession. Whether the doctors attach more importance to one dimension or the other, they do not differ in our analysis for how they answered the questions about relationships with patients, colleagues or family commitments in the questionnaire, even if they work in different areas. This suggests that in our research there is no single personal attitude that characterizes "a good doctor".

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.

Dataset Information

Perception of cold and heat pattern identification in diseases: a survey of Korean medicine doctors.

Background

Methods

Results

Conclusion

Publications

Perception of cold and heat pattern identification in diseases: a survey of Korean medicine doctors.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets