AI Assessment and Prediction Models for Geriatric Trauma

  • End date
    Oct 31, 2024
  • participants needed
  • sponsor
    Kaohsiung Medical University Chung-Ho Memorial Hospital
Updated on 4 October 2022


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.


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.

Condition Trauma, Aging
Treatment Health service program
Clinical Study IdentifierNCT05176054
SponsorKaohsiung Medical University Chung-Ho Memorial Hospital
Last Modified on4 October 2022


Yes No Not Sure

Inclusion Criteria

admitted to the hospital due to injury first time
able to communicate in Mandarin
agree to participate in this study from hospital discharge to one month after hospital discharge
patients and their primary caregivers have smart mobile phones and internet access available
can move independently before trauma

Exclusion Criteria

not frequent user for smart phones
severe cognitive impairment
victims of hangings and poisonings
Clear my responses

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If you are confirmed eligible after full screening, you will be required to understand and sign the informed consent if you decide to enroll in the study. Once enrolled you may be asked to make scheduled visits over a period of time.

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Complete your scheduled study participation activities and then you are done. You may receive summary of study results if provided by the sponsor.

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