Inpatient Critical Stage Monitoring in Smart Hospitals by Contextual Fuzzy based QoS Routing for WBMS Network Nurse Call System

Nurse-based patient monitoring is prone to errors due to manual measurements and documentation, leading to potential inaccuracies in care. The use of biosensors offers a promising solution by enabling real-time and continuous monitoring of patient health. Categorizing patient care reports as critical or non-critical using mobile recording systems based on biosensor data can help prevent errors and improve care. The use of biosensors can significantly reduce morbidity and mortality, especially after emergencies and accidents. These devices improve the quality of care and increase the satisfaction of older people, their families and healthcare professionals. Wearable biosensors make it easier for older people to monitor their health, which can help reduce hospital admissions. Chronic diseases such as cardiovascular disease, cancer, diabetes, dementia and stroke pose challenges to healthcare delivery and interpretation of results. Integrating biosensors into health monitoring and measurement is an innovative approach to managing these chronic conditions more effectively. To improve self-management of chronic diseases in older people, it is essential to educate healthcare professionals and promote research in this area. As a result, the use of biosensors to monitor the daily activities and health parameters of elderly patients is expanding, highlighting the importance of multidisciplinary research in biotechnology, chemistry, engineering and nursing.

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Inpatient Critical Stage Monitoring in Smart Hospitals by Contextual Fuzzy based QoS Routing for WBMS Network Nurse Call System

Cited by 3 publications

References 8 publications

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Post-COVID-19 Emerging Challenges and Predictions on People, Process, and Product by Metaheuristic Deep Learning Algorithm

Introduction of Cognition Science

Biosensor applications in the monitoring of elderly patients

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