Integration of HL7 Compliant Smart Home Healthcare System and HMIS

2012 ◽  
pp. 230-233 ◽  
Author(s):  
Wajahat Ali Khan ◽  
Maqbool Hussain ◽  
Asad Masood Khattak ◽  
Muhammad Afzal ◽  
Bilal Amin ◽  
...  
Keyword(s):  
Healthcare System ◽  
Smart Home ◽  
Home Healthcare

Smart Home Healthcare System Based on Middleware and Counter Neural Network

2020 ◽  
Vol 10 (5) ◽  
pp. 1105-1112 ◽  
Author(s):  
Chenghui Shao ◽  
Qixun Zhang ◽  
Yang Song ◽  
Dong Zhu
Keyword(s):  
Neural Network ◽  
Medical Treatment ◽  
Healthcare System ◽  
Smart Home ◽  
Rapid Development ◽  
Home Healthcare ◽  
The Public ◽  
City Construction ◽  
Patient Relationships ◽  
Smart Communities

In recent years, with the upsurge of the smart city construction, smart communities and smart medical services have also witnessed rapid development. The development of smart home has achieved remarkable results. The new term of smart home medical treatment is also accompanied by intelligent home into people’s lives. Smart home health is to improve the smart home to bring new experiences of the public life, combined with the wisdom of the medical under another kind of human considerations. The emergence of smart medical treatment is accompanied by smart home and in an attempt to solve the current imbalance in the relationship between doctors and also patients in China, especially the common medical sanitation in hospitals with high sanction, and the heavy workload of hospitals and the contradiction between doctor-patient relationships. Under this general background, this paper proposes smart home healthcare system based on the middleware and counter neural network model. The simulation proves the efficiency.

scholarly journals Older Adults' Experience of Smart-home Healthcare System

2015 ◽  
Vol 15 (5) ◽  
pp. 414-425 ◽  
Author(s):  
Young-Joo Lee ◽  
JuHee Lee ◽  
Ji-Young Nah
Keyword(s):  
Older Adults ◽  
Healthcare System ◽  
Smart Home ◽  
Home Healthcare

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 The Effectiveness of Hands-on Health Informatics Skills Exercises in the Multidisciplinary Smart Home Healthcare and Health Informatics Training Laboratories

2017 ◽  
Vol 08 (04) ◽  
pp. 1184-1196 ◽  
Author(s):  
A. Sapci ◽  
H. Sapci
Keyword(s):  
Data Analysis ◽  
Health Informatics ◽  
Smart Home ◽  
Patient Monitoring ◽  
Response Rate ◽  
Home Healthcare ◽  
Self Confidence ◽  
Informatics Training ◽  
Hands On ◽  
Monitoring Devices

Objective This article aimed to evaluate the effectiveness of newly established innovative smart home healthcare and health informatics laboratories, and a novel laboratory course that focuses on experiential health informatics training, and determine students' self-confidence to operate wireless home health monitoring devices before and after the hands-on laboratory course. Materials and Methods Two web-based pretraining and posttraining questionnaires were sent to 64 students who received hands-on training with wireless remote patient monitoring devices in smart home healthcare and health informatics laboratories. Results All 64 students completed the pretraining survey (100% response rate), and 49 students completed the posttraining survey (76% response rate). The quantitative data analysis showed that 95% of students had an interest in taking more hands-on laboratory courses. Sixty-seven percent of students had no prior experience with medical image, physiological data acquisition, storage, and transmission protocols. After the hands-on training session, 75.51% of students expressed improved confidence about training patients to measure blood pressure monitor using wireless devices. Ninety percent of students preferred to use a similar experiential approach in their future learning experience. Additionally, the qualitative data analysis demonstrated that students were expecting to have more courses with hands-on exercises and integration of technology-enabled delivery and patient monitoring concepts into the curriculum. Conclusion This study demonstrated that the multidisciplinary smart home healthcare and health informatics training laboratories and the hands-on exercises improved students' technology adoption rates and their self-confidence in using wireless patient monitoring devices.

The Smart Servicescape Framework in Smart Home Healthcare Service Experience

2019 ◽  
Vol 14 (1) ◽  
pp. 50-59
Author(s):  
Hyo‐Jin Kang ◽  
Bora Kim ◽  
Gyu Hyun Kwon
Keyword(s):  
Smart Home ◽  
Healthcare Service ◽  
Home Healthcare ◽  
Service Experience
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