Patient status monitoring for smart home healthcare

Author(s):  
M. Shamim Hossain
Author(s):  
Wajahat Ali Khan ◽  
Maqbool Hussain ◽  
Asad Masood Khattak ◽  
Muhammad Afzal ◽  
Bilal Amin ◽  
...  

2017 ◽  
Vol 08 (04) ◽  
pp. 1184-1196 ◽  
Author(s):  
A. Sapci ◽  
H. Sapci

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.


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

2018 ◽  
Vol 81 ◽  
pp. 129-140 ◽  
Author(s):  
Minh Pham ◽  
Yehenew Mengistu ◽  
Ha Do ◽  
Weihua Sheng

2020 ◽  
Vol 10 (5) ◽  
pp. 1105-1112 ◽  
Author(s):  
Chenghui Shao ◽  
Qixun Zhang ◽  
Yang Song ◽  
Dong Zhu

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.


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