基于大数据的智能护理系统在维护血液透析患者中的应用
Qijun Long1, Meichun Yang2, Jiahui Long3
1School of Public Health and Administration, Youjiang Medical University for Nationalities, Baise 533000, Guangxi, China; College of Innovation and Entrepreneurship, Youjiang Medical University for Nationalities, Baise 533000, Guangxi, China.
SLAS technology
|June 20, 2024
概括
智能护理系统有效地减少了接受维护血液透析 (MHD) 的患者的并发症和恐惧. 这种大数据驱动的方法提高了自我护理能力,并大大提高了患者对护理结果的满意度.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 医疗信息学 医疗信息学
- 患者护理 患者护理
背景情况:
- 维持血液透析 (MHD) 对末期病至关重要,但会导致生理损伤,经济压力和心理困扰.
- 患者对MHD的恐惧和拒绝可能会对治疗的坚持和生活质量产生负面影响.
- 现有的干预措施可能无法完全解决MHD患者面临的多方面的挑战.
研究的目的:
- 开发和评估一个智能护理系统,利用大数据为MHD患者提供服务.
- 评估系统对患者心理健康和治疗结果的影响.
- 改善MHD患者的整体生活质量和护理满意度.
主要方法:
- 使用大数据分析构建智能护理系统.
- 智能护理系统与自我有效性干预方法的实验比较.
- 对并发症率,自我护理能力和患者满意度的定量评估.
主要成果:
- 智能护理系统控制的MHD并发症率低于14%,而自我有效性干预超过13%.
- 智能护理系统增强了MHD患者的自我护理能力.
- 在实施智能护理系统后,患者对护理结果的满意度增加了70%.
结论:
- 与传统的自我疗效干预相比,智能护理系统为管理MHD患者提供了一种优越的方法.
- 大数据驱动的智能护理系统显著改善了患者的自我护理和整体满意度.
- 开发的系统有望减少心理痛苦并提高MHD患者的生活质量.
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