Construction and Application of a Real-World Cohort of Community-Acquired Pneumonia Based on a Multimodal Large-Scale Traditional Chinese Medicine Big Data Platform

Zhichao WANG; Xianmei ZHOU; Fanchao FENG; Mengqi WANG; Xin WANG; Bin KANG; Xiaofan YU; Xiaoxiao WANG; Lei XIAO; Juan LI; Zhichao ZHANG; Ye MA; Yeqing JI; Xin TONG; Zhuoyue WU; Jia LIU

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Construction and Application of a Real-World Cohort of Community-Acquired Pneumonia Based on a Multimodal Large-Scale Traditional Chinese Medicine Big Data Platform

VernacularTitle:基于多模态大模型中医大数据平台的多中心社区获得性肺炎真实世界队列的构建与应用
Author: Zhichao WANG ¹ ; Xianmei ZHOU ¹ ; Fanchao FENG ¹ ; Mengqi WANG ² ; Xin WANG ³ ; Bin KANG ⁴ ; Xiaofan YU ⁵ ; Xiaoxiao WANG ¹ ; Lei XIAO ¹ ; Juan LI ¹ ; Zhichao ZHANG ¹ ; Ye MA ¹ ; Yeqing JI ¹ ; Xin TONG ⁶ ; Zhuoyue WU ⁶ ; Jia LIU ²
Author Information

1. Affiliated Hospital of Nanjing University of Chinese Medicine，Nanjing，210029
2. Institute of Basic Research in Clinical Medicine，China Academy of Chinese Medical Sciences
3. Data Center of Chinese Medicine，China Academy of Chinese Medical Sciences
4. School of Internet of Things，Nanjing University of Posts and Telecommunications
5. Institute of Air-Space-Ground-Sea Communication Technology Integration，Nanjing University of Posts and Telecommunications
6. School of Public Health，Nanjing Medical University
Publication Type:Journal Article
Keywords: community-acquired pneumonia; real-world study; big data platform; artificial intelligence
From: Journal of Traditional Chinese Medicine 2026;67(9):961-965
CountryChina
Language:Chinese
Abstract: This paper introduces a real-world cohort research model for community-acquired pneumonia （CAP） based on the Jiangsu Traditional Chinese Medicine （TCM） Dominant Diseases Diagnosis and Treatment Data Platform. Firstly， data cleaning is performed by standardizing diagnosis， symptoms， treatment and imaging， intelligently extracting unstructured information， and cleaning and constructing a standardized database. Secondly， for cohort establishment， CAP patients across the province are screened in accordance with CAP diagnostic criteria to build a high-quality disease-specific cohort. Lastly， in terms of protocol design， the characteristics of TCM research and the CAP disease profile are considered to determine appropriate inclusion and exclusion criteria， estimate sample size， define interventions， outcomes and economic evaluations， providing a reference for real-world TCM research on CAP.