急危重症患者生成型健康数据智能监测与风险预警的研究进展

doi:10.3761/j.issn.2096-7446.2026.01.018

Abstract

Abstract:

Patient-generated health data（PGHD） play a central role in the early detection and risk warning of critically ill patients. Traditional monitoring technologies，however，are limited by narrow indicator scope and unstable measurement accuracy，making them insufficient to meet the complex，dynamic，and multidimensional needs of critical care monitoring. Nursing-related innovative materials，owing to their high sensitivity，wearability，and smart responsiveness，offer a novel approach for continuous data acquisition and real-time analysis of PGHD. This review summarizes recent advances in the application of such materials for perioperative critical monitoring，acute exacerbation detection in chronic disease，and early warning in oncologic emergencies. We focus on their contributions to monitoring precision and sensitivity，and the mechanisms by which they synergize with digital technologies. We also assess real-world challenges regarding clinical adaptability，translation of multisource data into actionable value，and protection of patients’ data sovereignty. Finally，we explore a new paradigm for transforming nursing-related innovative materials from passive response toward intelligent early warning，providing a reference for future research on the precision and intelligence of critical care nursing monitoring.

Key words: Nursing-related Innovative Materials, Monitoring, Critical Care Nursing, Patient-Generated Health Data, Review Literature as Topic

ZHOU Yi, ZHANG Xiaohong, DUAN Yinglong, ZHANG Wenxiu, SHEN Zhiying, DONG Xiao-qian, XIE Jianfei. Research progress on intelligent monitoring and risk warning of patient-generated health data in critically ill patients[J]. Chinese Journal of Emergency and Critical Care Nursing, 2026, 7(1): 111-115.

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Research progress on intelligent monitoring and risk warning of patient-generated health data in critically ill patients

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