Long-term care service for old people is in great demand in most of the aging societies. The number of nursing homes residents is increasing while the number of care providers is limited. Due to the care worker shortage, care to vulnerable older residents cannot be fully tailored to the unique needs and preference of each individual. This may bring negative impacts on health outcomes and quality of life among institutionalized older people. To improve care quality through personalized care planning and delivery with limited care workforce, we propose a new care planning model assisted by artificial intelligence. We apply bandit algorithms which optimize the clinical decision for care planning by adapting to the sequential feedback from the past decisions. We evaluate the proposed model on empirical data acquired from the Systems for Person-centered Elder Care (SPEC) study, a ICT-enhanced care management program.

翻译：长期照护服务在大多数老龄化社会中需求巨大。养老院居民数量不断增加，而照护提供者数量有限。由于照护人员短缺，对脆弱老年居民的照护无法完全根据每个人的独特需求和偏好量身定制，这可能对养老机构老年人的健康结果和生活质量产生负面影响。为了在有限的照护人力下通过个性化照护规划与实施提升照护质量，我们提出了一种人工智能辅助的新型照护规划模型。我们应用了赌博机算法，该算法通过适应来自过去决策的序贯反馈来优化照护规划的临床决策。我们在从“以人为中心的老年照护系统（SPEC）”研究（一个ICT增强的照护管理项目）中获取的经验数据上评估了所提出的模型。