Issues and Solutions for Symptom Efficacy Evaluation in the Big Data Era of Traditional Chinese Medicine
10.13288/j.11-2166/r.2024.08.005
- VernacularTitle:大数据时代中医症状疗效评价存在的问题与解决对策
- Author:
Xiaoyu ZHANG
1
;
Sichao TIAN
2
;
Liangzhen YOU
3
;
Xi GUO
4
;
Zhao CHEN
1
;
Chunling LIU
3
;
Nannan SHI
1
;
Hongcai SHANG
3
Author Information
1. Institute of Basic Research in Clinical Medicine， China Academy of Chinese Medical Sciences，100700
2. Institute of Medicinal Plant Development， Chinese Academy of Medical Sciences & Peking Union Medical College
3. Dongzhimen Hospital， Beijing University of Chinese Medicine
4. University of Science and Technology Beijing
- Publication Type:Journal Article
- Keywords:
traditional Chinese medicine symptoms;
efficacy evaluation;
patient reporting;
artificial intelligence
- From:
Journal of Traditional Chinese Medicine
2024;65(8):792-795
- CountryChina
- Language:Chinese
-
Abstract:
Emphasizing symptom efficacy is an important manifestation of the personalized diagnosis and treatment of traditional Chinese medicine （TCM）. However， in current clinical practice of TCM， there are challenges such as diverse symptom expressions， difficulty in standardization， inconsistent evaluation standards for symptom efficacy， lack of universal quantitative methods， and complexity in collecting complete and accurate symptom information. These issues hinder the full and effective utilization of symptom information. Addressing the current research status and existing problems of symptom terminology standardization， quantification and grading of symptom efficacy， and collection of symptom information， this paper proposes methodological strategies for effectively recording and utilizing TCM symptom efficacy information in the era of big data. These strategies include collecting TCM symptom information based on patient reporting， standardizing the evaluation of TCM symptom efficacy from measurement scales and evaluation dimensions， integrating TCM symptom efficacy evaluation into clinical diagnosis and treatment processes， and utilizing artificial intelligence technology to acquire and process TCM symptom efficacy information. TCM symptom efficacy evaluation strategies based on patient perspectives and artificial intelligence technology will help fully explore the value of data elements， promote the objective demonstration of the specific efficacy of TCM， and facilitate the discovery of effective patterns.
