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护理学院

  • 姓 名:

    朴美华

  • 单 位:

    中国医学科学院北京协和医学院护理学院

  • 教职岗位:

    助理教授

  • 聘任时间:

    2022-04-08

  • 一级学科:

    护理学

  • 二级学科:

    护理学

  • 联系方式:

    pumc_pmh@163.com

  • 导师风采链接:
    https://yzbss.pumc.edu.cn/basicinfo/tutorinfo/tutordetail/J2022010003

个人简介

朴美华,护理信息学家,中国医学科学院护理学院研究员、博士生导师。赴韩国首尔大学攻读护理信息学硕士、博士,从事医疗大数据分析、自然语言处理、数字疗法研究。曾任首尔国立大学医院副教授,开展基于海量数据的真实世界研究,为药品器械效果跟踪和新药设计提供支撑。
     院校引进人才,2022年加入院校。目前专注护理领域小型语言模型(Nursing-sLLM)开发;推进SNOMED-CT护理子集本地化;开展基于可穿戴设备的心血管疾病远程监测与数字疗法研究。


主要研究内容

将大语言模型应用于护理领域,开发护理专用sLLM和智能文书生成系统,建立基于NLP的护理文本分析与临床决策支持方法。创建基于认知行为理论的数字疗法平台,研发智能聊天机器人促进慢病患者习惯养成。开发心血管疾病居家监测技术,包括多模态数据融合和基于孪生双塔模型的ECG诊断算法,获中美发明专利多项。推进SNOMED-CT护理子集本地化研究,建立中文护理术语与国际标准映射体系。主持中央级项目和韩国重大项目,累计经费超2000万元。担任DTx数字疗法委员会、国际护理信息学会成员,推动护理信息学国际标准化进程。


代表性成果

1. Li, S.J.#, Ma, H.M., Zhu, L.Q., Yu, H.Y., Wang, A.Q., Tang, X.Y., Pei, R.Y., Piao, M.* (2025). Exergame-Based Behavior Change Interventions for Promoting Physical Activity: Systematic Review and Meta-Analysis of Randomized Controlled Studies. J Med Internet Res 27:e62906. (IF=7.4)

2. Cui, H.#, Zhu, X., Zhang, W., Piao, M.*, Peng, Y. (2025). From knowledge silos to integrated insights: building a cardiovascular medication knowledge graph for enhanced medication knowledge retrieval, relationship discovery, and reasoning. Front Cardiovasc Med 12:1526247. (IF=3.6)

3. Liu, Y.#, Li, S., Yu, J., Piao, M.* (2025). Demand analysis of transitional care for patients undergoing minimally invasive cardiac interventions with AI-driven solutions: a mixed-methods approach. BMC Nurs 24:453. (IF=3.2)

4. Cui, H.#, Piao, M.*, Huang, X., Zhu, X., Ma, H., Peng, Y. (2025). Advancing cardiac MRI multi-structure segmentation: A semi-supervised multidimensional consistency constraint learning network. Med Phys 52(1):1-19. (IF=3.8)

5. Li, S.J.#, Ma, H.M., Wang, A.Q., Piao, M.H.* (2024). Association of cognitive performance with overall, dosage, intensity, and domain physical activity in aging: NHANES 2011–2014. BMC Geriatr 24:910. (IF=4.1)

6. Wang, A.#, Zhou, Y., Ma, H., Tang, X., Li, S., Pei, R., Piao, M.* (2024). Preparing for aging: Understanding middle-aged user acceptance of AI chatbots through the Technology Acceptance Model. Digit Health 10:20552076241284903. (IF=3.9)

7. Tang, X.#, Wang, Y., Ma, H., Wang, A., Zhou, Y., Li, S., Pei, R., Cui, H., Peng, Y., Piao, M.* (2024). Detection and Evaluation for High-Quality Cardiopulmonary Resuscitation Based on a Three-Dimensional Motion Capture System: A Feasibility Study. Sensors 24(7):2154. (IF=3.9)

8. Ma, H.#, Wang, A., Pei, R., Piao, M.* (2023). Effects of habit formation interventions on physical activity habit strength: meta-analysis and meta-regression. Int J Behav Nutr Phys Act 20(1):109. (IF=8.7)

9. Piao, M., Cui, H., Peng, Y., Wang, S., Zhang, L., Ma, H., Zhu, X. Intelligent decision reasoning method for type-based diagnosis and treatment of cardiovascular disease, device, and product. Patent No. US12,230,401,B1. Date of Patent: Feb. 18, 2025.

10. Piao, M., Ma, H., Cui, H., Pei, R., Zhou, Y., Wang, A., Tang, X., Li, S. A chatbot for promoting exercise habit formation of a patient with chronic diseases. US Patent Application No. 18/627,292. Filed: April 4, 2024.