Workflow
中医药数智化转型
icon
Search documents
为传统中医药插上数智化翅膀
Jing Ji Ri Bao· 2025-05-05 22:10
Group 1 - The core viewpoint of the article emphasizes the digital transformation of the traditional Chinese medicine (TCM) industry through the integration of artificial intelligence and digital technologies to enhance drug development efficiency and production capabilities [1][3]. - The Ministry of Industry and Information Technology, along with six other departments, has jointly issued the "Implementation Plan for the Digital Transformation of the Pharmaceutical Industry (2025-2030)", outlining typical application scenarios for TCM and a list of digital transformation scenarios [1]. - The TCM industry has established a traceable data platform covering over 100 key Chinese medicine enterprises and 113 commonly used Chinese medicinal materials, laying a foundation for the development of digital TCM [1]. Group 2 - The article suggests that the TCM industry should focus on data mining and decision model research to improve the quality, efficiency, and effectiveness of traditional medicine innovation through the establishment of large databases [2]. - It highlights the need for intelligent design applications in TCM production, combining high-quality process data with mathematical modeling or AI algorithms to enhance process reliability and controllability [2]. - The article calls for the development of intelligent pharmaceutical equipment and software tailored to the characteristics of TCM production, as well as the digital transformation of medical institutions to create a comprehensive digital TCM service model [2]. Group 3 - Post-digital transformation, the TCM industry can leverage AI to enhance new drug development efficiency, utilize digital workshops for real-time process parameter control, and implement intelligent logistics and blockchain for transparent drug distribution management [3]. - These advancements are expected to drive the TCM industry towards higher-end, intelligent, and environmentally friendly practices [3].
中医+AI,如何推动中医服务行业的数智化转型
Di Yi Cai Jing· 2025-04-27 08:35
Core Insights - The rapid development of large models in AI is drawing unprecedented attention to how AI can empower the healthcare industry, particularly in integrating traditional Chinese medicine (TCM) with AI technology [1] Group 1: Growth of TCM Clinics - The number of TCM clinics in China has surged to 82,200, an increase of nearly 12,000 from the previous year, marking a fourfold increase compared to the 3,000 clinics added in 2022 [2] - This growth is attributed to the increasing recognition of TCM among the public, although experts warn that this rapid expansion may be temporary and that clinics face challenges such as medical insurance cost control and centralized procurement [3] Group 2: Role of AI in TCM - AI is seen as a significant tool in the training of TCM practitioners, making it easier to cultivate qualified doctors [4] - Companies like Dajia TCM and Congbao Technology are exploring AI applications in TCM services, with Dajia TCM having launched an auxiliary diagnosis feature in 2017, which has enriched the usage scenarios for doctors [5] - Congbao Technology has collaborated with over 10,000 medical institutions, generating over 70 million prescriptions through its AI-assisted diagnosis system, which aims to enhance the capabilities of both doctors and hospitals [5] Group 3: Challenges in Data Utilization - Despite advancements, the integration of AI in TCM is still in its early stages due to the complexity of TCM theories and practices [6] - Data remains a significant challenge, with many aspects of TCM efficacy and evaluation still unclear, hindering the development of AI models [7][8] - The industry recognizes the need for modern scientific methods to clarify the principles of TCM and improve clinical efficacy through data-driven approaches [8] Group 4: Future Prospects - The application prospects of AI in the TCM industry are still highly anticipated, with expectations for new business models and improved service quality [9]