Ambient Intelligence Supporting Health and Social Care Services in Smart Care Settings: Literature Review and Research Agenda

Drobež, Eneja; Kavšek, Marta; Bogataj, Marija; Drobez, Miso

doi:10.1016/j.ifacol.2022.09.460

Cited by 1 publication

(1 citation statement)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The purpose of smart care is to replace physical and mental labor in long-term care services for the elderly with chronic diseases [ 13 , 14 ]. Smart care refers to a new modern care model that automatically monitors the physical health status of care objects in real time through the Internet of Things, Internet technology and various artificial intelligence technology products.…”

Section: Introductionmentioning

confidence: 99%

KGSCS—a smart care system for elderly with geriatric chronic diseases: a knowledge graph approach

Li,

Han,

Xing

et al. 2024

BMC Med Inform Decis Mak

View full text Add to dashboard Cite

Background 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. Method 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. Results 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. Conclusion 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.

show abstract

Section: Introductionmentioning

confidence: 99%