DEMAND FOR AN INTERNET OF THINGS-BASED HEALTH MONITORING PATTERN TO PREVENT FALLS IN THE ELDERLY
Keywords:
Needs Assessment, Fall Monitoring, Elderly, Wearable Device, Internet of ThingsAbstract
This research aimed to investigate the requirements for health monitoring pattern to prevent falls in the elderly within the Internet of Things (IoT) context. The further outcome is in order to develop an information technology model that leverages IoT technology to monitor health conditions, mainly focusing on fall detection. The IoT is the network of physical objects “things” that are embedded with sensors, software, and smart wearable for the purpose of connecting and exchanging data with other devices over the internet. Data was collected from 100 elderly individuals who received healthcare services at Somdej Phra Sangkharat Yanasangwon Geriatric Hospital. A questionnaire with CVI 0.9 was used to collect data. The general data and the data of requirements for health monitoring pattern to prevent falls in the elderly within the Internet of Things (IoT) context were analyzed by descriptive statistic.
The results showed that 79% of the samples preferred wrist-worn wearable devices for biometrics monitoring. Additionally, 100% of the samples expressed a need for devices and applications capable of detecting falls and automatically notifying caregivers or relatives via a mobile application. Furthermore, there was a demand for a service that provides information on nearby emergency services in case of an incident.
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