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Dissertations and Theses

2018

Wearable technology

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Developing A Mixed-Methods Method To Model Elderly Health Technology Adoption With Fuzzy Cognitive Map, And Its Application In Adoption Of Remote Health Monitoring Technologies By Elderly Women, Noshad Rahimi Aug 2018

Developing A Mixed-Methods Method To Model Elderly Health Technology Adoption With Fuzzy Cognitive Map, And Its Application In Adoption Of Remote Health Monitoring Technologies By Elderly Women, Noshad Rahimi

Dissertations and Theses

Providing healthcare to the ever-rising elderly population has become a severe challenge and a top priority. Emerging innovations in healthcare, such as remote health monitoring technologies, promise to provide a better quality of care and reduce the cost of healthcare. However, many elderly people reject healthcare innovations. This lack of adoption constitutes a big practical problem because it keeps the elderly from benefiting from technology advances. The phenomenon is even more pronounced among elderly women, who represent the majority of the elderly population.

A plethora of studies in the field of technology adoption resulted in sound, but highly generalized theories …


Assessment Of Technology Adoption Potential Of Medical Devices: Case Of Wearable Sensor Products For Pervasive Care In Neurosurgery And Orthopedics, Liliya Stepanivna Hogaboam Mar 2018

Assessment Of Technology Adoption Potential Of Medical Devices: Case Of Wearable Sensor Products For Pervasive Care In Neurosurgery And Orthopedics, Liliya Stepanivna Hogaboam

Dissertations and Theses

Information and communication technologies hope to revolutionize the healthcare industry with innovative and affordable solutions with a focus on pervasive care. Wearable sensors products can provide monitoring in a natural environment with a constant stream of information, enriching healthcare practices and enabling better pervasive care.

Wearable sensor technologies could monitor patients' mobility, gait, tremor, daily activity and other health indicators in real time that could allow for simple, non-invasive, tracking of spine care that may lead to increased patient engagement, integration, feedback, post-surgery analysis, monitoring of patient's condition, patient's data extraction and analysis and possibly aiding in better diagnosis, intervention, …