患者生成型健康数据(patient-generated health data,PGHD)在急危重症早期识别与风险预警中扮演核心角色,但传统监测技术存在采集指标单一、精度不稳定等局限性,难以应对急危重症患者复杂、动态、多维度的监测需求。护理新材料凭借高灵...患者生成型健康数据(patient-generated health data,PGHD)在急危重症早期识别与风险预警中扮演核心角色,但传统监测技术存在采集指标单一、精度不稳定等局限性,难以应对急危重症患者复杂、动态、多维度的监测需求。护理新材料凭借高灵敏度、可穿戴性与智能响应特性,为PGHD的连续获取与实时分析提供新途径。该文综述了护理新材料在围手术期急症监测、慢性疾病急性加重识别及肿瘤急症预警中的应用进展,重点分析其在监测精度、灵敏度及与数字技术协同的机制,评估其在临床适应性、多源数据价值转化、患者数据主权保障等方面的现实挑战,探讨护理新材料由被动响应向智能预警转型的新思路,为急危重症护理监测的精准化、智能化研究提供参考。展开更多
Evidence-based literature reviews play a vital role in contemporary research,facilitating the synthesis of knowledge from multiple sources to inform decisionmaking and scientific advancements.Within this framework,de-...Evidence-based literature reviews play a vital role in contemporary research,facilitating the synthesis of knowledge from multiple sources to inform decisionmaking and scientific advancements.Within this framework,de-duplication emerges as a part of the process for ensuring the integrity and reliability of evidence extraction.This opinion review delves into the evolution of de-duplication,highlights its importance in evidence synthesis,explores various de-duplication methods,discusses evolving technologies,and proposes best practices.By addressing ethical considerations this paper emphasizes the significance of deduplication as a cornerstone for quality in evidence-based literature reviews.展开更多
基金supported by National Natural Science Foundation of China(611750 68,61472168,61163004)Natural Science Foundation of Yunnan Province(2013FA130)Talent Promotion Project of Ministry of Science and Technology(2014HE001)
文摘患者生成型健康数据(patient-generated health data,PGHD)在急危重症早期识别与风险预警中扮演核心角色,但传统监测技术存在采集指标单一、精度不稳定等局限性,难以应对急危重症患者复杂、动态、多维度的监测需求。护理新材料凭借高灵敏度、可穿戴性与智能响应特性,为PGHD的连续获取与实时分析提供新途径。该文综述了护理新材料在围手术期急症监测、慢性疾病急性加重识别及肿瘤急症预警中的应用进展,重点分析其在监测精度、灵敏度及与数字技术协同的机制,评估其在临床适应性、多源数据价值转化、患者数据主权保障等方面的现实挑战,探讨护理新材料由被动响应向智能预警转型的新思路,为急危重症护理监测的精准化、智能化研究提供参考。
文摘Evidence-based literature reviews play a vital role in contemporary research,facilitating the synthesis of knowledge from multiple sources to inform decisionmaking and scientific advancements.Within this framework,de-duplication emerges as a part of the process for ensuring the integrity and reliability of evidence extraction.This opinion review delves into the evolution of de-duplication,highlights its importance in evidence synthesis,explores various de-duplication methods,discusses evolving technologies,and proposes best practices.By addressing ethical considerations this paper emphasizes the significance of deduplication as a cornerstone for quality in evidence-based literature reviews.
