从数字到数字化:中医的过去、现在和未来

Q3 Medicine
Qi Wang
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引用次数: 0

摘要

数字化是第四次工业革命背景下中医药自然发展的必然路径。中医数字化的目标是从数字中生成智能。中医起源于象数或表型命理思维的推理范式,临床观察与数字有着深刻的关联,为数字化奠定了强有力的理论基础。中医数字化应从临床入手,解决电子病历问题,实现规范化和信息化,并在此基础上通过知识建设形成中医知识库。这一过程有赖于医学、数学、工程等多学科的共同努力,实现中医数字化、智能化转型。这个时代要求中医打破壁垒,拥抱机遇,走向数字化。但在转型过程中,应保持其本质,避免简单化的转换,以科学价值为导向,利用前沿技术,增强中医内涵解读的深度和广度。中医药数字化还将提升中医服务能力,打造创新型数字化智能中医服务平台,以智慧和解决方案助力“健康中国”事业发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From digits towards digitization: the past, present, and future of traditional Chinese medicine
Digitization is the inevitable path for the natural development of traditional Chinese medicine (TCM) in the context of the Fourth Industrial Revolution. The goal of TCM digitization is to generate intelligence from numbers. Originating from the reasoning paradigm of Xiangshu (象数, image-number) or phenotype-numerology thinking, TCM came with a deep correlation of clinical observations with digits and laid a strong theoretical basis for digitization. The digitization of TCM should start from the clinical aspect, solve the problem of electronic medical records, achieve standardization and informatization, and on this basis, form a TCM knowledge base through knowledge-building. This process depends on the combined efforts of multiple disciplines such as medicine, mathematics, and engineering to achieve the digitization and intelligent transformation of TCM. This era calls for TCM to break down barriers, embrace opportunities, and move towards digitization. However, during the transformation, it should maintain its essence, avoid simplistic conversions, be guided by scientific value, leverage cutting-edge technologies, and enhance the depth and breadth of the interpretation of TCM connotations. The digitization of TCM will also improve its service capabilities, create an innovative digitally-intelligent TCM service platform, and contribute to the development of “Healthy China” initiatives with wisdom and solutions.
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来源期刊
Digital Chinese Medicine
Digital Chinese Medicine Medicine-Complementary and Alternative Medicine
CiteScore
1.80
自引率
0.00%
发文量
126
审稿时长
63 days
期刊介绍:
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