首页|数字乡村背景下农村医疗健康信息协同关键影响因素识别研究

数字乡村背景下农村医疗健康信息协同关键影响因素识别研究

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[目的/意义]探索农村医疗健康信息协同的影响因素体系,识别出影响农村医疗健康信息协同的关键因素,对于提高农村医疗健康信息协同水平、助力医疗健康信息互通共享具有重要的实践指导价值。[方法/过程]以WSR系统方法论为基础探究农村医疗健康信息协同的影响因素体系,并采用模糊DANP方法解析各影响因素的相互关系及相对重要程度,识别出影响农村医疗健康信息协同的关键因素。[结果/结论]构建了农村医疗健康信息协同的WSR模型,识别出8个农村医疗健康信息协同关键影响因素,最后从物理、事理、人理3个维度提出相应的优化策略。[创新/局限]基于WSR系统方法论探索农村医疗健康信息协同影响因素体系,能够为数字乡村建设和健康信息服务提供理论参考和实践指导,但指标量化存在一定主观性,样本数量有待拓展丰富。
The Identification of Key Influencing Factors of Rural Medical and Health Information Col-laboration under the Background of Digital Village
[Purpose/significance]Exploring the influencing factor system of rural medical and health information collaboration and identifying the key factors affecting rural medical and health information collaboration are of great practical significance to improve ru-ral medical and health information collaboration and help medical and health information interoperability and sharing.[Method/pro-cess]Based on the WSR system methodology,the system of influencing factors of rural medical and health information collaboration is explored,and the fuzzy DANP method is used to analyze the interrelationships and relative importance of the influencing factors,and the key factors affecting rural medical and health information collaboration are identified.[Result/conclusion]The WSR model of ru-ral medical and health information collaboration was constructed,eight key influencing factors of rural medical and health information collaboration were identified,and finally the corresponding optimization strategies were proposed from three dimensions,namely,Wuli,Shili,and Renli.[Innovation/limitation]Exploring the system of rural medical and health information collaboration influencing factors based on the WSR system methodology can provide theoretical references and practical guidance for the construction of digital villages and health information services,but the quantification of the indexes is subjective and the number of samples needs to be ex-panded and enriched.

digital villagerural communitymedical and health informationinformation collaborationWSR system methodologykey influencing factor

洪闯、李中明

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湘潭大学公共管理学院,湖南湘潭 411105

数字乡村 农村社区 医疗健康信息 信息协同 WSR系统方法论 关键影响因素

2024

情报科学
中国科学技术情报学会 吉林大学

情报科学

CSTPCDCSSCICHSSCD北大核心
影响因子:2.275
ISSN:1007-7634
年,卷(期):2024.42(7)