基于混合多标准决策模型的智能医疗服务质量评估系统的设计
1School of Design Art, Xiamen University of Technology, Xiamen, 361024, China.
Scientific reports
|November 3, 2024
概括
这项研究引入了一个新的框架来评估智能医疗 (SM) 服务质量. 关键发现强调了智能预约和诊断对于改善医疗机构医疗保健质量至关重要.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健管理的管理
- 决策科学 决策科学 决策科学
背景情况:
- 医疗信息化正在推进,通过智能医疗 (SM) 系统增强医疗保健服务.
- 在评估服务质量方面存在差距,特别是在智能医疗领域.
- 现有的文献缺乏对SM服务质量评估的全面框架.
研究的目的:
- 开发一个创新的框架来评估智能医疗 (SM) 的服务质量.
- 确定关键的维度和指标,对SM服务质量评估至关重要.
- 为测量和改善医疗保健中SM服务质量提供一种可靠的方法.
主要方法:
- 使用混合多标准决策模型,结合最佳-最差方法 (BWM) 和VIKOR方法.
- 采用BWM来确定SM服务质量的维度和指标的权重.
- 应用了VIKOR方法来评估所选医院的服务质量 (H1,H2,H3).
主要成果:
- 智能预约,诊断和治疗被确定为评估SM服务质量的最重要的维度.
- 开发的框架通过敏感性分析证明了稳定性和稳健性.
- 该研究提供了关于门特定医院服务质量的经验证据.
结论:
- 医院应加强其预约信息平台和内部医生质量管理.
- 改善自助服务终端和平台之间的信息连接对于更好的SM服务质量至关重要.
- 这些发现为医疗机构提供了可操作的见解,旨在改善智能药物实施和服务提供.
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