Smart Nursing Homes: Self‐Management Architecture Based on IoT and Machine Learning for Rural Areas

Abstract

The rate of world population aging is increasing. This situation directly affects all countries socially and economically, increasing their compromise and effort to improve the living conditions of this sector of society. In environments with large influxes of elderly people, such as nursing homes, the use of technology has shown promise in improving their quality of life. The use of smart devices allows people to automate everyday tasks and learn from them to predict future actions. Additionally, smartphones capture a wealth of information that allows to adapt to nearby actuators according to people’s preferences and even detects anomalies in their behaviour. Current works are proposing new frameworks to detect these behaviours and act accordingly. However, these works are not focused on managing multidevice environments where sensor and smartphone data are considered to automate environments with elderly people or to learn from them. Also, most of these works require a permanent Internet connection, so the full benefit of smart devices is not completely achieved. In this work, we present an architecture that takes the data from sensors and smartphones in order to adapt the behaviour of the actuators of the environment. In addition, it uses this data to learn from the environment to predict actions or to extrapolate the actions that should be executed according to similar behaviours. The architecture is implemented through a use case based on a nursing home located in a rural area. Thanks to this work, the quality of life of the elderly is improved in a simple, affordable, and transparent way for them.

Design and Optimization of Urinary Real-Time Nursing Model Based on Medical Internet of Things

“…Urinary real-time nursing model based on medical Internet of Things (IoTs) mainly aims at nurses' daily management of urinary disease patients' nursing work, realizes the informatization and standardization of nursing work, and ensures the smooth progress of nurses' mobile nursing work for patients [ 1 ]. According to the patient information and medication information or blood information collected by the handheld device, the real-time nursing model can accurately check the patient's information during the infusion process, the oral medication process, the blood sample collection process, and the vital signs input process [ 2 ].…”

Mechanisms of Social Interaction and Virtual Connections as Strong Predictors of Wellbeing of Older Adults

“…Although the studies are inconsistent on the relationship between group actives and wellbeing, our results showed that social interaction enhance higher cognition, which is a factor to ameliorate wellbeing. In fact, technology skills or social group networking skills gives the senior a greater chance of accessibility to government and health-related services that can reduce individual expenditures as well [ 63 ]. Despite the limitations of this study, our findings provide insights for future studies as opportunities of social and community engagement could provide those in need, with a causal pathway to stay organized and maintain the relationship between daily routine and self-management behavior [ 64 ].…”

A Scoping Literature Review of Rural Institutional Elder Care

“…However, the limitation of working hours remains a hurdle to achieving better results [ 36 , 37 ]. Studies have long been calling for the development of caring partnerships between nursing staff and families [ 38 ], embracing of advanced nursing plans [ 101 ], introducing self-management intelligent nursing home frameworks [ 102 ], meeting nursing staff’s educational needs [ 98 ], and avoiding violence among residents [ 103 , 104 ].…”

“…Furthermore, the rural institutional elder care system should be standardized, so that the innovation research of rural institutional elder care models is required for accumulation. In recent years, intelligent nursing homes [ 102 ], telemedicine [ 35 , 85 , 86 ], and other emerging topics have received more attention. Further research on new rural institutional elder care models assisted with emerging technologies will significantly help improve the life quality of rural institutional elder care residents and enhance their wellbeing.…”