Patients' Adoption of WSN-Based Smart Home Healthcare Systems: An Integrated Model of Facilitators and Barriers

2017 ◽  
Vol 60 (1) ◽  
pp. 4-23 ◽  
Author(s):  
Ahmad Alaiad ◽  
Lina Zhou
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

2011 ◽  
Vol 23 (05) ◽  
pp. 325-348
Author(s):  
Yen-Lin Chen ◽  
Chuan-Yen Chiang ◽  
Chao-Wei Yu ◽  
Shyan-Ming Yuan ◽  
Zeng-Wei Hong

This study proposes a customized and reusable component-based design framework based on the UML modeling process for intelligent home healthcare systems. All the proposed functional components are reusable, replaceable, and extensible for the system developers to implement customized home healthcare systems addressing different demands of patients and caregivers from healthcare monitoring aspects. The prototype design of the intelligent healthcare system based on these proposed components can provide the following features: (1) monitoring and recording videos of rehabilitation situations and patient behavior using multiple CCD cameras, which can be stored accordingly in an archive; (2) recording the patient's physiological data and corresponding treatment plan, which can be stored in an XML archiving database for caregivers' review; (3) automatically alerting patients to remind them of medication schedules or treatment plans, while recording the patient's treatment situations; (4) caregivers monitoring videos and physiological records of the patient's rehabilitation using handheld mobile devices via the Internet or wireless communication networks; and (5) caregivers and patients establishing alert mechanisms for the patients' physiological warning states. If the patient's physiological state suddenly deteriorates, the module would immediately alert caregivers by sending notification messages to their remote mobile devices or web browsers.


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