Healthcare Computer Reasoning Addressing Chronically Ill Societies Using IoT: Deep Learning AI to the Rescue of Home-Based Healthcare

The authors present a proposal to develop intelligent assisted living environments for home based healthcare. These environments unite the chronical patient clinical history sematic representation with the ability of monitoring the living conditions and events recurring to a fully managed Semantic Web of Things (SWoT). Several levels of acquired knowledge and the case based reasoning that is possible by knowledge representation of the health-disease history and acquisition of the scientific evidence will deliver, through various voice based natural interfaces, the adequate support systems for disease auto management but prominently by activating the less differentiated caregiver for any specific need. With these capabilities at hand, home based healthcare providing becomes a viable possibility reducing the institutionalization needs. The resulting integrated healthcare framework will provide significant savings while improving the generality of health and satisfaction indicators.

Prevention of falls in the elderly in the home: promoting active ageing

Objective: To determine the frequency of falls and identify risk factors in the homes of the elderly under the Home Care Service of a village in Alentejo (Portugal). Method: Exploratory, descriptive study. The target group were elderly persons under the Home Care Service (23). The questionnaire consists of open and closed questions, and was based on the Jefferson Area Board for Aging Safety in the Home Assessment; Instrument to Assess the Risk of Falls and Adaptations to Prevent Falls at Home. Results: Of the 23 seniors, 13 were men; the mean age was 85; 10 widowers; 11 live alone; 12 cannot read or write; 17 have experienced falls, loss of balance being the main cause. They report changes in vision (21), hearing (14) and rheumatic diseases (14); hypertension (19); they use 4 or more drugs on a daily basis (16). Conclusion: The physiological changes associated with ageing may increase the risk of falls. Due to the consequences, it is a priority field in community intervention.

Prevention of falls in the elderly in the home: promoting active ageing

To determine the frequency of falls and identify risk factors in the homes of the elderly under the Home Care Service of a village in Alentejo (Portugal). Method: Exploratory, descriptive study. The target group were elderly persons under the Home Care Service (23). The questionnaire consists of open and closed questions, and was based on the Jefferson Area Board for Aging Safety in the Home Assessment; Instrument to Assess the Risk of Falls and Adaptations to Prevent Falls at Home. Results: Of the 23 seniors, 13 were men; the mean age was 85; 10 widowers; 11 live alone; 12 cannot read or write; 17 have experienced falls, loss of balance being the main cause. They report changes in vision (21), hearing (14) and rheumatic diseases (14); hypertension (19); they use 4 or more drugs on a daily basis (16). Conclusion: The physiological changes associated with ageing may increase the risk of falls. Due to the consequences, it is a priority field in community intervention.