一个以用户为中心的数据可视化动脉样硬化心脏病风险因素
Sandra Rivas1,2, Tonita Powell-Fontenot1,2, Abayomi Adegunlehin2
1Cizik School of Nursing, The University of Texas Health Science Center Houston, Texas, USA.
Studies in health technology and informatics
|July 25, 2024
概括
高胆固醇会增加心血管疾病的风险. 设计更好的脂质检测显示器有助于早期干预,并减少医疗保健提供者的压力.
科学领域:
- 心脏病学 心脏病学
- 人与计算机的交互
- 医疗信息学 医疗信息学
背景情况:
- 胆固醇水平升高是动脉样硬化心血管疾病 (ACVD) 和缺血性心脏病的主要危险因素.
- 对脂质面板测试和心脏风险因素的有效解释对于高脂血症的及时干预至关重要.
- 目前的数据可视化方法可能无法完全支持对心血管风险评估的有效临床决策.
研究的目的:
- 提出一种针对心血管风险因素的新仪表板设计,基于既有设计理论.
- 提高脂质面板测试结果和其他心脏风险指标的解释.
- 改善心血管疾病 (CVD) 的诊断,治疗和预防.
主要方法:
- 在设计图形数据显示中应用 Gestalt 原则和分布式认知理论.
- 开发一个以用户为中心的仪表板,专注于心血管风险因素.
- 脂质面板数据和其他相关临床信息的整合.
主要成果:
- 拟议的仪表板旨在促进医疗保健提供者更快,更准确地解释数据.
- 通过增强诊断和治疗能力,预计可以改善心血管疾病 (CVD) 的治疗.
- 有潜力减轻临床提供者的倦怠和减少医疗保健系统的压力.
结论:
- 设计理论可以优化复杂的健康数据的可视化,例如心血管风险因素.
- 改进数据显示可以带来更好的患者结果和更有效的医疗保健系统.
- 仪表板方法为管理高脂血症和减少心血管疾病负担提供了一个有希望的策略.
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