通过使用网络解析进行医疗保健网站全面可用性分析的自动化框架
Amandeep Kaur1, Jaswinder Singh2, Satinder Kaur3
1Department of Computer Science, Guru Nanak Dev University, Amritsar, Punjab, India. Amandeeprsh.cs@gndu.ac.in.
Scientific reports
|July 2, 2025
概括
一个新的自动化工具,WUAHP,使用五个标准来评估医院网站的可用性. 评分差异很大 (12-97%),强调需要改善医疗保健网站的设计和可访问性.
科学领域:
- 医疗信息学 医疗信息学
- 人与计算机的交互
- 网络科学 网络科学
背景情况:
- 医院网站对于在数字时代提供医疗保健信息和服务至关重要.
- 评估网站的可用性对于有效的患者参与和信息传播至关重要.
- 现有的网站可用性评估方法可能是耗时和主观的.
研究的目的:
- 引入WUAHP,这是一个基于Python的自动化工具,用于评估医院网站的可用性.
- 评估网站的结构和内容组件,以增强用户体验.
- 为医疗保健网站评估提供可扩展和客观的方法.
主要方法:
- 使用Python和BeautifulSoup开发了WUAHP,用于HTML解析.
- 根据五个标准评估网站:导航效率,运营效率,可访问性,响应性和兼容性以及安全性.
- 采用规范化模块 (0-1级) 和权衡方法进行客观评分,并通过用户反和尼尔森启发式验证.
主要成果:
- 这项研究分析了使用WUAHP的50个医疗保健网站.
- 可用性得分显示出显著的变化,从12% (HW39) 到97% (HW9) 之间.
- 这些发现强调了医疗保健网站设计效率的巨大差异.
结论:
- WUAHP提供了一种有效的,自动化的解决方案,用于评估和改进医院网站的可用性.
- 该工具有助于web开发人员和医疗保健提供者提高用户体验.
- 这项技术为未来的大规模网站评估中的机器学习应用奠定了基础.
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