• 1. School of Integrated Traditional Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, P. R. China;
  • 2. Shandong Second Medical University, Weifang 261053, P. R. China;
  • 3. Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100010, P. R. China;
  • 4. Key Laboratory of Chinese Internal Medicine of Ministry of Education, Beijing University of Chinese Medicine, Beijing 100700, P. R. China;
SHANG Hongcai, Email: shanghongcai@126.com
Export PDF Favorites Scan Get Citation

Traditional Chinese medicine equipment plays an indispensable role in the prevention, diagnosis, treatment and rehabilitation of traditional Chinese medicine from the needs of people's life and health, and provides technical support for the simple, convenient, cheap and effective clinical practice of traditional Chinese medicine. The traditional Chinese medicine equipment industry has the development advantages of large demand gap, strong policy support and emerging technology empowerment. At the same time, there are also bottlenecks such as lagging standardization construction, weak industrial foundation, insufficient characteristics of traditional Chinese medicine and immature evidence-based evaluation research. The coming of the era of digital intelligence has brought new opportunities for the development and reform of the traditional Chinese medicine equipment industry. This paper provides development ideas for the transformation of traditional Chinese medicine equipment from traditional to modern from the aspects of standardization construction, digital intelligence industry upgrading, improvement of evidence-based evaluation system and in-depth international exchanges and cooperation.

Citation: ZHANG Xiaowei, PENG Mengqi, LIN Hongyuan, WANG Wenhui, ZHANG Xiaoyu, ZHAO Chen, SHANG Hongcai. Modern transformation and development of traditional Chinese medicine instruments in the era of digital intelligence. Chinese Journal of Evidence-Based Medicine, 2024, 24(7): 853-858. doi: 10.7507/1672-2531.202311004 Copy

  • Previous Article

    Interpretation of consensus statement of the WFSBP on potential biomarkers for diagnosing insomnia
  • Next Article

    The application of electronic assessment tools for cognitive function