樸美華，護理信息學家，中國醫學科學院護理學院研究員、博士生導師。赴韓國首爾大學攻讀護理信息學碩士、博士，從事醫療大數據分析、自然語言處理、數字療法研究。曾任首爾國立大學醫院副教授，開展基于海量數據的真實世界研究，為藥品器械效果跟蹤和新藥設計提供支撐。
     院校引進人才，2022年加入院校。目前專注護理領域小型語言模型(Nursing-sLLM)開發；推進SNOMED-CT護理子集本地化；開展基于可穿戴設備的心血管疾病遠程監測與數字療法研究。

將大語言模型應用于護理領域，開發護理專用sLLM和智能文書生成系統，建立基于NLP的護理文本分析與臨床決策支持方法。創建基于認知行為理論的數字療法平臺，研發智能聊天機器人促進慢病患者習慣養成。開發心血管疾病居家監測技術，包括多模態數據融合和基于孿生雙塔模型的ECG診斷算法，獲中美發明專利多項。推進SNOMED-CT護理子集本地化研究，建立中文護理術語與國際標準映射體系。主持中央級項目和韓國重大項目，累計經費超2000萬元。擔任DTx數字療法委員會、國際護理信息學會成員，推動護理信息學國際標準化進程。

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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)

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