信息标准化在智慧医疗中的应用与研究

摘要：

【目的】探索信息标准化在智慧医疗领域的应用现状、作用机制以及面临的挑战，为推动智慧医疗发展提供理论依据和实践指导。【方法】通过文献研究等方法，分析其在提升医疗数据质量、促进信息共享与协同、支持医疗决策等方面的作用，阐述当前应用现状及面临的问题。【结果】信息标准化对智慧医疗发展至关重要，是实现医疗信息高效利用和医疗服务优化的关键。但是目前仍存在标准体系不完善、标准实施难度大、信息安全与隐私保护等问题。【结论】信息标准化是智慧医疗实现医疗信息共享与协同、提高医疗服务质量，促进智慧医疗发展的关键支撑，未来需要不断完善标准化体系，加强标准的推广与实施，注重信息安全与隐私保护，以充分发挥信息标准化在智慧医疗中的优势，推动智慧医疗的可持续发展。

Abstract:

[Objective] The study aims to explore the application status, mechanism and challenges of information standardization in the field of smart healthcare, and to provide theoretical basis and practical guidance for promoting the development of smart healthcare. [Methods] Through literature research and other methods, the role of medical data in improving the quality of medical data, promoting information sharing and collaboration, and supporting medical decisionmaking is analyzed, and the current application status and problems are expounded. [Results] Information standardization is very important for the development of smart healthcare, and it is the key to realize the efficient utilization of medicalinformation and the optimization of medical services. However, there are still problems such as imperfect standards system, difficult implementation of standards, information security and privacy protection. [Conclusion] Information standardization is the key support for the development of smart healthcare, which enables the sharing and collaboration of medical information and improves the quality of medical services. In the future, it is necessary to continuously improve the standardization system, strengthen the promotion and implementation of standards, pay attention to information security and privacy protection, fully leverage the advantages of information standardization in smart healthcare, and promote the sustainable development of smart healthcare.

引用格式：向海平，林晓东，毛云鹏，等.信息标准化在智慧医疗中的应用与研究 [J]. 标准科学，2026 (2):101-107.

基金项目：本文受四川省卫生信息学会科研项目“大数据技术医疗健康数据质量评价规范”（项目编号：2024001）；四川省自然科学基金青年基金项目“人工智能颈部血管识别模型在阿尔兹海默症早期筛查的意义”（项目编号：2023NSFSC1733）资助。

作者简介：向海平，本科，工程师，研究方向为医学信息、信息标准、大数据、机器学习。罗伟东，通信作者，博士，副主任医师，研究方向为人工智能、医学影像、卫生信息标准。