Background: About 40% trauma patients will be over age 65 years by 2050, thus geriatric trauma constitutes an increasingly recognized problem that should be concerned. However, little is known about complicated causes of injury and long-term outcomes in older injured patients. Previous study strategies to promote health outcomes for geriatric trauma still are inconclusive. Due to the limited healthcare resources and workforce, health service for geriatric trauma care should be refined in the new era.~Expected outcomes/impacts: This study attempts to build up a modern healthcare model that may influence geriatric trauma care as well geriatric assessment. The AI prediction model can be used to quickly assess degree of balance for geriatric trauma patients. This study will involve a nursing student and healthcare professionals, and help them to learn how AI connects to geriatric trauma care. This would be an opportunity to cultivate potential experts for AI and healthcare. Last, the outcomes are highly associated with the government's policies related to smart health, smart healthcare, and long-term care workforce.
To fill up the research gaps and build up a healthcare service model for geriatric trauma patients, this two-stage study aims to (a) develop geriatric trauma Artificial Intelligence (AI) prediction models by comparing the outcomes from clinical assessment and AI joint images; and (b) examine the long-term effects of an innovative health service program in geriatric trauma patients.