Research Ideas on Human Experience in Medical Cases of Classic Formulas Based on Evidence-Based Concept
10.13288/j.11-2166/r.2024.22.006
- VernacularTitle:基于循证理念的经典名方医案人用经验研究思路
- Author:
Hongyan CUI
1
;
Mingyi SHAO
1
;
Ruixia ZHAO
2
;
Rongrong ZHANG
3
;
Lanqing LYU
3
;
Yuxuan FANG
1
Author Information
1. The First Affiliated Hospital of Henan University of Chinese Medicine，Zhengzhou，450003
2. Henan Evidence-Based Medicine Center，The First Affiliated Hospital of Henan University of Chinese Medicine
3. The First Clinical Medical College of Henan University of Chinese Medicine
- Publication Type:Journal Article
- Keywords:
classical formulas;
human experience;
evidence-based medicine;
medical cases evaluation;
PICO model
- From:
Journal of Traditional Chinese Medicine
2024;65(22):2310-2315
- CountryChina
- Language:Chinese
-
Abstract:
The amount of data generated by the human experience in medical cases of classic formulas is large and the research value is high， but how to extract valuable information from these massive data is an important problem of researches on classical formulas. It is concluded that there are many problems in the current study of human experience in classical formulas， such as large amount of data， uneven quality， weak extrapolation and clinical application， which seriously affected the evidence strength of human experience in classical formulas and the contribution to experience accumulation and theoretical support. Therefore， from the structural perspective of the research questions， this paper proposed the research ideas of human experience in medical cases of classic formulas： firstly， according to the characteristics of traditional Chinese medicine （TCM） cases， based on the PICO model， which refers parti-cipants （P）， intervention （I）， comparisons （C）， and outcomes （O）， a TCM medical record evaluation tool in line with the evidence-based concept was constructed to evaluate the quality of medical cases； secondly， constructing a standardized database of human experience in classical formulas and using data mining algorithms to explore the deep relationship hidden in human experience； finally， the clinical value evaluation is carried out to verify the effectiveness of the diagnosis and treatment rules of classical formulas to achieve clinical transformation.
