scholarly journals Wired and Wireless Distributed e-Home Healthcare System

2016 ◽  
pp. 207-250
Author(s):  
Booma Devi Sekar ◽  
JiaLi Ma ◽  
MingChui Dong
Keyword(s):  
Healthcare System ◽  
Point Of Care ◽  
Access Point ◽  
Data Access ◽  
Medical Personnel ◽  
Home Healthcare ◽  
Information Communication ◽  
Healthcare Data ◽  
Remote Healthcare ◽  
Healthcare Monitoring

The proactive development in electronic health (e-health) has introduced seemingly endless number of applications such as telemedicine, electronic records, healthcare score cards, healthcare monitoring etc. Yet, these applications confront the key challenges of network dependence and medical personnel necessity, which hinders the development of universality of e-health services. To mitigate such key challenges, this chapter presents a versatile wired and wireless distributed e-home healthcare system. By exploiting the benefit of body sensor network and information communication technology, the dedicated system model methodically integrates some of the comprehensive functions such as pervasive health monitoring, remote healthcare data access, point-of-care signal interpretation and diagnosis, disease-driven uplink update and synchronization (UUS) scheme and emergency management to design a complete and independent e-home healthcare system.

scholarly journals Wired and Wireless Distributed e-Home Healthcare System

2020 ◽  
pp. 663-706
Author(s):  
Booma Devi Sekar ◽  
JiaLi Ma ◽  
MingChui Dong
Keyword(s):  
Healthcare System ◽  
Point Of Care ◽  
Access Point ◽  
Data Access ◽  
Medical Personnel ◽  
Home Healthcare ◽  
Information Communication ◽  
Healthcare Data ◽  
Remote Healthcare ◽  
Healthcare Monitoring

The proactive development in electronic health (e-health) has introduced seemingly endless number of applications such as telemedicine, electronic records, healthcare score cards, healthcare monitoring etc. Yet, these applications confront the key challenges of network dependence and medical personnel necessity, which hinders the development of universality of e-health services. To mitigate such key challenges, this chapter presents a versatile wired and wireless distributed e-home healthcare system. By exploiting the benefit of body sensor network and information communication technology, the dedicated system model methodically integrates some of the comprehensive functions such as pervasive health monitoring, remote healthcare data access, point-of-care signal interpretation and diagnosis, disease-driven uplink update and synchronization (UUS) scheme and emergency management to design a complete and independent e-home healthcare system.

Exploring the Applications of Machine Learning in Healthcare

2020 ◽  
Vol 10 (4) ◽  
pp. 458-472
Author(s):  
Tausifa Jan Saleem ◽  
Mohammad Ahsan Chishti
Keyword(s):  
Machine Learning ◽  
Disease Risk ◽  
Disease Diagnosis ◽  
Machine Intelligence ◽  
Healthcare Applications ◽  
Comprehensive Overview ◽  
Machine Learning Applications ◽  
Remote Healthcare ◽  
Healthcare Monitoring ◽  
Applications Of Machine Learning

The rapid progress in domains like machine learning, and big data has created plenty of opportunities in data-driven applications particularly healthcare. Incorporating machine intelligence in healthcare can result in breakthroughs like precise disease diagnosis, novel methods of treatment, remote healthcare monitoring, drug discovery, and curtailment in healthcare costs. The implementation of machine intelligence algorithms on the massive healthcare datasets is computationally expensive. However, consequential progress in computational power during recent years has facilitated the deployment of machine intelligence algorithms in healthcare applications. Motivated to explore these applications, this paper presents a review of research works dedicated to the implementation of machine learning on healthcare datasets. The studies that were conducted have been categorized into following groups (a) disease diagnosis and detection, (b) disease risk prediction, (c) health monitoring, (d) healthcare related discoveries, and (e) epidemic outbreak prediction. The objective of the research is to help the researchers in this field to get a comprehensive overview of the machine learning applications in healthcare. Apart from revealing the potential of machine learning in healthcare, this paper will serve as a motivation to foster advanced research in the domain of machine intelligence-driven healthcare.

scholarly journals Need to Intervene: An Exploratory Study of Nurses’ Experiences With Patienthood

2021 ◽  
Vol 8 ◽  
pp. 237437352199884
Author(s):  
Marian A O Cohen ◽  
Jim McQuaid ◽  
Ruth Remington
Keyword(s):  
Patient Satisfaction ◽  
Quality Of Care ◽  
Healthcare System ◽  
Family Caregiver ◽  
Exploratory Study ◽  
Medical Personnel ◽  
Healthcare Personnel ◽  
Coordination Of Care ◽  
Professional Perspective

Much has been written about the patient experience, but there is little information about experiences of providers as patients. Since lay patients and providers have differing perspectives and expectations, it is important to identify those elements shared by those in each group and those that diverge. This study identified experiences of nurses as being a patient or a family caregiver of a patient as well as identified assessments of the healthcare system by nurses. An exploratory study using a self-administered electronic questionnaire with a group of registered nurses was conducted. Assessments of the system by responders were positive when addressing quality of care, interactions among healthcare personnel, and interactions with patients. However, when discussing their experiences as patient, nurses reported they encountered problems with coordination of care, responses of medical personnel, attention to details of care, and responses to their attempts to become more involved. Results confirm issues raised by patients who are not medical experts in patient satisfaction studies. Adding a professional perspective highlights where problems with the healthcare system lie.

Development of an Ease-of-Use Remote Healthcare System Architecture Using RFID and Networking Technologies

2012 ◽  
Vol 36 (6) ◽  
pp. 3605-3619 ◽  
Author(s):  
Shih-Sung Lin ◽  
Min-Hsiung Hung ◽  
Chang-Lung Tsai ◽  
Li-Ping Chou
Keyword(s):  
Healthcare System ◽  
System Architecture ◽  
Ease Of Use ◽  
Remote Healthcare ◽  
Networking Technologies

scholarly journals Remote healthcare monitoring and assessment

2011 ◽  
Vol 19 (4) ◽  
pp. 295-306
Author(s):  
Chris D. Nugent ◽  
Dewar Finlay ◽  
Richard Davies ◽  
Mark Donnelly ◽  
Josef Hallberg ◽  
...  
Keyword(s):  
Remote Healthcare ◽  
Healthcare Monitoring
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