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定义智慧养老院的概念及其潜在的技术实用功能,这些技术将医疗服务整合在一起,并为利益相关者所接受:范围综述。

Defining the concepts of a smart nursing home and its potential technology utilities that integrate medical services and are acceptable to stakeholders: a scoping review.

机构信息

Department of Family Medicine, Faculty of Medicine & Health Sciences, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia.

Global Century Science Group, Hong Kong, China.

出版信息

BMC Geriatr. 2022 Oct 7;22(1):787. doi: 10.1186/s12877-022-03424-6.

DOI:10.1186/s12877-022-03424-6
PMID:36207705
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9540152/
Abstract

BACKGROUND AND OBJECTIVES

Smart technology in nursing home settings has the potential to elevate an operation that manages more significant number of older residents. However, the concepts, definitions, and types of smart technology, integrated medical services, and stakeholders' acceptability of smart nursing homes are less clear. This scoping review aims to define a smart nursing home and examine the qualitative evidence on technological feasibility, integration of medical services, and acceptability of the stakeholders.

METHODS

Comprehensive searches were conducted on stakeholders' websites (Phase 1) and 11 electronic databases (Phase 2), for existing concepts of smart nursing home, on what and how technologies and medical services were implemented in nursing home settings, and acceptability assessment by the stakeholders. The publication year was inclusive from January 1999 to September 2021. The language was limited to English and Chinese. Included articles must report nursing home settings related to older adults ≥ 60 years old with or without medical demands but not bed-bound. Technology Readiness Levels were used to measure the readiness of new technologies and system designs. The analysis was guided by the Framework Method and the smart technology adoption behaviours of elder consumers theoretical model. The results were reported according to the PRISMA-ScR.

RESULTS

A total of 177 literature (13 website documents and 164 journal articles) were selected. Smart nursing homes are technology-assisted nursing homes that allow the life enjoyment of their residents. They used IoT, computing technologies, cloud computing, big data and AI, information management systems, and digital health to integrate medical services in monitoring abnormal events, assisting daily living, conducting teleconsultation, managing health information, and improving the interaction between providers and residents. Fifty-five percent of the new technologies were ready for use in nursing homes (levels 6-7), and the remaining were proven the technical feasibility (levels 1-5). Healthcare professionals with higher education, better tech-savviness, fewer years at work, and older adults with more severe illnesses were more acceptable to smart technologies.

CONCLUSIONS

Smart nursing homes with integrated medical services have great potential to improve the quality of care and ensure older residents' quality of life.

摘要

背景与目的

智能技术在养老院环境中具有提升管理更多老年居民的运营能力的潜力。然而,智能养老院的概念、定义和类型、集成医疗服务以及利益相关者对智能养老院的接受程度尚不清楚。本范围综述旨在定义智能养老院,并检查关于技术可行性、医疗服务集成以及利益相关者可接受性的定性证据。

方法

在利益相关者网站上进行全面搜索(第 1 阶段)和 11 个电子数据库(第 2 阶段),以获取有关智能养老院现有概念的信息,了解技术和医疗服务在养老院环境中的实施情况,以及利益相关者的接受程度评估。出版年份从 1999 年 1 月至 2021 年 9 月。语言限于英语和中文。纳入的文章必须报告与≥60 岁的老年人有关的养老院设置,无论是否有医疗需求,但不需要卧床。技术准备水平用于衡量新技术和系统设计的准备情况。分析由框架方法和老年人消费者智能技术采用行为理论模型指导。结果按照 PRISMA-ScR 报告。

结果

共选择了 177 篇文献(13 篇网站文件和 164 篇期刊文章)。智能养老院是辅助技术养老院,可让居民享受生活。它们使用物联网、计算技术、云计算、大数据和人工智能、信息管理系统以及数字健康来整合医疗服务,以监测异常事件、辅助日常生活、进行远程咨询、管理健康信息以及改善提供者和居民之间的互动。55%的新技术已准备好在养老院中使用(6-7 级),其余的则证明了技术可行性(1-5 级)。教育程度较高、技术素养较好、工作年限较短的医疗保健专业人员以及病情较重的老年人对智能技术的接受程度更高。

结论

具有集成医疗服务的智能养老院具有极大的潜力,可以提高护理质量并确保老年居民的生活质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1da/9540741/338ecc16b6b2/12877_2022_3424_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1da/9540741/dcfee3c7942d/12877_2022_3424_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1da/9540741/8c4b5b20c0d8/12877_2022_3424_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1da/9540741/338ecc16b6b2/12877_2022_3424_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1da/9540741/dcfee3c7942d/12877_2022_3424_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1da/9540741/8c4b5b20c0d8/12877_2022_3424_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1da/9540741/338ecc16b6b2/12877_2022_3424_Fig3_HTML.jpg

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