[1]李红娟,杜德伟.人工智能与生育健康服务深度融合的 现实挑战及优化路径[J].卫生经济研究,2026,43(06):64-67.
　LI Hongjuan,DU Dewei.In-depth Integration of Artificial Intelligence and Reproductive Health Services: Practical Challenges and Optimization Pathways[J].Journal Press of Health Economics Research,2026,43(06):64-67.
点击复制

人工智能与生育健康服务深度融合的 现实挑战及优化路径

卫生经济研究[ISSN:1004-7778/CN:33-1056/F]

卷:
43
期数:
2026年06期
页码:
64-67
栏目:
数智健康
出版日期:
2026-06-03

文章信息/Info

Title:
In-depth Integration of Artificial Intelligence and Reproductive Health Services: Practical Challenges and Optimization Pathways
作者:
李红娟1; 杜德伟1
1.国家卫生健康委妇幼健康中心，北京 100191
Author(s):
LI Hongjuan;  DU Dewei
National Center for Women and Children's Health, National Health Commission, Beijing 100191, China
关键词:
人工智能; 生育健康服务; 算法; 数据安全
Keywords:
artificial intelligence;  reproductive health services;  algorithms;  data security
分类号:
R19
文献标志码:
A
摘要:
目的：分析人工智能与生育健康服务深度融合的应用场景及优化路径。方法：采用探索性多案例方法，分析人工智能与生育健康服务融合的典型案例。结果：人工智能与生育健康服务深度融合，常见于远程医疗、辅助诊疗、健康管理等场景，涉及9项融合业务27个融合点；在监管、数据质量与可用性、算法准确性、数据隐私与安全、临床转化、人文关怀等方面面临挑战。结论：为促进人工智能与生育健康服务的深度融合，应完善监管评估机制，激活数据要素价值，推动算法优化训练，确保数据安全可控，破解成果转化难题，最终回归生育健康服务“以人为本”的本质。
Abstract:
Objective To analyze the application scenarios and optimization pathways for the in-depth integration of artificial intelligence(AI) and reproductive health services. Methods An exploratory multiple-case study method was used to analyze typical cases of the integration of AI and reproductive health services. Results The in-depth integration of AI and reproductive health services was commonly observed in scenarios such as telemedicine, assisted diagnosis and treatment, and health management, covering 9 integrated businesses and 27 integration points. Challenges were identified in areas including regulation, data quality and availability, algorithm accuracy, data privacy and security, clinical translation, and humanistic care. Conclusion To promote the in-depth integration of AI and reproductive health services, it is necessary to improve regulatory and evaluation mechanisms, unlock the value of data elements, promote algorithm optimization and training, overcome barriers to translational research, and ultimately return to the human-centered essence of reproductive health services.

参考文献/References:

[1] 邱五七，吴琼，狄江丽，等.我国生育健康服务现状与应对：政策、问题与策略[J].医学研究杂志，2024，53（06）：1-5，39.
[2] 谈在祥，刘逸天.卫生健康领域新质生产力的内涵特征及发展路径[J].卫生经济研究，2024，41（06）：1-4.
[3] 吴雨桐，邓勇.人工智能辅助诊疗系统赋能县级中医医院的潜在风险与应对[J].卫生软科学，2025，39（05）：41-46，58.
[4] 许洛，王晓君.医疗人工智能应用：分类逻辑及风险治理[J].卫生经济研究，2026，43（01）：81-85.
[5] 法卉，吴文烈.人工智能在公共卫生策略优化中的应用与挑战[J].中国公共卫生，2025，41（04）：401-405.
[6] 温慧莹，李笑天.人工智能及机器学习深度算法在产科母胎疾病中的应用[J].中国实用妇科与产科杂志，2024，40（08）：804-809.
[7] 王兰英，郑睿，刘宪伟.医学人工智能临床应用的伦理困境：从信息系统到机器人[J].医学与哲学，2025，46（09）：24-29.
[8] 高宇，郎景和，李雷.人工智能对妇产科学的挑战和推动[J].国际妇产科学杂志，2024，51（06）：601-606.
[9] 黄孜璇，王虹.人工智能技术在妇产科诊治和患者管理中的应用研究进展[J].实用妇产科杂志，2025，41（10）：820-824.

相似文献/References:

[1]金春林,何 达.人工智能在医疗健康领域的应用及挑战[J].卫生经济研究,2018,(11):3.
　JIN Chun-lin,HE Da.The Application and Challenge of Artificial Intelligence in the field of Health[J].Journal Press of Health Economics Research,2018,(06):3.
[2]杨泽华,田 侃,殷 婷,等.浅谈人工智能在我国卫生健康领域的应用[J].卫生经济研究,2018,(11):7.
　YANG Ze-hua,TIAN Kan,YIN Ting,et al.Talking about the Application of Artificial Intelligence in the Field of Health in China[J].Journal Press of Health Economics Research,2018,(06):7.
[3]赵文敏,喻小勇,田 侃.人工智能视域下药师的发展思考[J].卫生经济研究,2019,(08):52.
　ZHAO Wen-min,YU Xiao-yong,TIAN Kan.Thoughts on the Development of Pharmacists in the Field of Artificial Intelligence[J].Journal Press of Health Economics Research,2019,(06):52.
[4]谈在祥,韩晓平,丁甜甜.我国医疗人工智能的发展困境与对策[J].卫生经济研究,2020,(06):13.
　TAN Zai-xiang,HAN Xiao-ping,DING Tian-tian.The Development Dilemma and Countermeasures of Medical AI in China[J].Journal Press of Health Economics Research,2020,(06):13.
[5]王海旭,陈艳萍,赵 凯.中国人工智能医疗产业发展的现状及国际经验借鉴[J].卫生经济研究,2020,(09):9.
　WANG Hai-xu,CHEN Yan-ping,ZHAO Kai.Situations of Artificial Intelligence Medical Industry Development in China and International Experience[J].Journal Press of Health Economics Research,2020,(06):9.
[6]尤 敏,赵辞瑶,顾 晨,等.人工智能在公立医院合同审计中的应用研究[J].卫生经济研究,2025,42(12):70.
　YOU Min,ZHAO Ciyao,GU Chen,et al.Study on the Application of Artificial Intelligence in Contract Auditing in Public Hospitals[J].Journal Press of Health Economics Research,2025,42(06):70.

更新日期/Last Update: 2026-06-03