医疗保健仪表板技术和用于脂质管理的数据可视化:范围审查
Mahnaz Samadbeik1,2, Teyl Engstrom3,4, Elton H Lobo3,4,5,6
1Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia. m.samadbeik@uq.edu.au.
BMC medical informatics and decision making
|November 22, 2024
概括
数据可视化仪表板通过增强人口健康和提供者经验来改善脂质管理. 需要进一步的研究来证实它们对患者结果的影响,并降低精确预防的成本.
科学领域:
- 心血管健康 心血管健康
- 医疗信息学 医疗信息学
- 数据科学数据科学数据科学
背景情况:
- 脂质疾病是心血管疾病 (CVD) 的主要危险因素,需要有效的管理策略.
- 传统的脂质疾病查方法受到数据复杂性和决策缓慢的挑战.
- 数据可视化和仪表板技术为脂质管理提供了明确,可操作的洞察力.
研究的目的:
- 研究数据可视化和仪表板技术在脂质管理中的应用.
- 评估这些技术对医疗保健四重目标的影响:人口健康,患者体验,提供者工作生活和降低成本.
主要方法:
- 根据乔安娜·布里格斯研究所 (JBI) 的方法进行范围审查.
- 在主要数据库 (Embase, Web of Science, PubMed, Scopus, CINAHL) 和灰色文献 (2014-2024) 中进行全面的文献搜索.
- 来自27项纳入研究的定量描述和定性内容的分析.
主要成果:
- 仪表板主要由医生用于管理糖尿病和心血管疾病,并与电子病历和临床指南集成.
- 关键的分析方法包括关键绩效指标 (KPI) 的比较和趋势分析.
- 在人口健康 (8/12研究) 和提供者工作生活 (5/6研究) 中观察到积极影响,患者体验有所改善.
结论:
- 仪表板是管理脂质疾病的宝贵工具,支持教育倡议和协作护理模式.
- 虽然它们对人口健康和临床经验有效,但它们对患者治疗结果和降低成本的影响需要进一步研究.
- 未来的研究应侧重于对仪表板对患者结果和成本效益的有效性进行详细评估,特别是用于精确预防慢性疾病.
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