School of Management Science and Engineering, Central University of Finance and Economics, Beijing, 100080, China.
Beijing Academy of Science and Technology, Research Institute for Smart Aging, Beijing, 100050, China.
BMC Med Inform Decis Mak. 2024 Mar 12;24(1):73. doi: 10.1186/s12911-024-02472-9.
The increasing aging population has led to a shortage of geriatric chronic disease caregiver, resulting in inadequate care for elderly people. In this global context, many older people rely on nonprofessional family care. The credibility of existing health websites cannot meet the needs of care. Specialized health knowledge bases such as SNOMED-CT and UMLS are also difficult for nonprofessionals to use. Furthermore, professional caregiver in elderly care institutions also face difficulty caring for multiple elderly people at the same time and working handovers. As a solution, we propose a smart care system for the elderly based on a knowledge graph.
First, we worked with professional caregivers to design a structured questionnaire to collect more than 100 pieces of care-related information for the elderly. Then, in the proposed system, personal information, smart device data, medical knowledge, and nursing knowledge are collected and organized into a dynamic knowledge graph. The system offers report generation, question answering, risk identification and data updating services. To evaluate the effectiveness of the system, we use the expert evaluation method to score the user experience.
The results of the study showed that compared to existing tools (health websites, archives and expert team consultation), the system achieved a score of 8 or more for basic information, health support and Dietary information. Some secondary evaluation indicators reached 9 and 10 points. This finding suggested that the system is superior to existing tools. We also present a case study to help the reader understand the role of the system.
The smart care system provide personalized care guidelines for nonprofessional caregivers. It also makes the job easier for institutional caregivers. In addition, the system provides great convenience for work handover.
人口老龄化加剧导致老年慢性病护理人员短缺，老年人护理不足。在这种全球背景下，许多老年人依赖非专业的家庭护理。现有的健康网站的可信度无法满足护理的需求。SNOMED-CT 和 UMLS 等专业健康知识库也难以被非专业人士使用。此外，老年护理机构的专业护理人员在同时照顾多位老年人和工作交接方面也面临困难。因此，我们提出了一种基于知识图的老年人智能护理系统。
首先，我们与专业护理人员合作，设计了一个结构化的问卷，收集了 100 多份与老年人护理相关的信息。然后，在提出的系统中，个人信息、智能设备数据、医学知识和护理知识被收集并组织成一个动态的知识图。该系统提供报告生成、问答、风险识别和数据更新服务。为了评估系统的有效性，我们使用专家评估方法对用户体验进行评分。
研究结果表明，与现有工具（健康网站、档案和专家团队咨询）相比，该系统在基本信息、健康支持和饮食信息方面的得分达到 8 或以上。一些次要评估指标达到了 9 分和 10 分。这一发现表明该系统优于现有工具。我们还展示了一个案例研究，以帮助读者理解系统的作用。
智能护理系统为非专业护理人员提供个性化的护理指南。它也使机构护理人员的工作更轻松。此外，该系统还为工作交接提供了极大的便利。
