Phase 2(2023 - 2025)

Translational Research

Research Background

There is a growing academic interest and a rising need for personalized healthcare services, based on precision medicine, aimed at maintaining the optimal health of older adults in their residential settings.

Recent advancements in various supportive technologies for older adults, such as sensors and wearable devices, have enabled the development of personalized digital care technology.

To meet the increasing demands for self-management in older adults, a comprehensive approach is necessary, integrating personalized digital health management and evidence-based big data technologies for the cognitive, psychosocial, and physical health management of older adults.

Research Objectives and Contents

The second phase consists of two parts, integrating cognitive, psychosocial, and physical health issues in older adults, to conduct translational research and develop related technologies based on the research findings in the first phase.

  • Part 1

    Development of personalized digital care technologies for older adults

    1. Development and effectiveness assessment of a personalized non-pharmacological intervention using a mobile app for preventing and managing the behavioral and psychological symptoms of dementia

    2. Development of a predictive model using a machine learning approach, aimed at assessing cognitive and physical function in older adults at high risk for dementia, based on data collected through a wearable device and mobile app

    3. Evaluation of the effectiveness of a context-aware system, based on ICT, on the cognitive, physical, and psychosocial health of high-risk older adults

    4. Development and assessment of the effectiveness of caregiving technologies and services tailored to end-users and developed in collaboration with older adults in local communities through Senior Living Lab

  • Part 2

    Development of big data-based technologies for cognitive, psychosocial,
    and physical health of older

    1. Development and evaluation of a preventive system for accidents and risk behaviors in older adults living with dementia using community-based data

    2. Establishment of a comprehensive monitoring system for social connectedness and loneliness among community-dwelling older adults, and development of predictive models for depression symptoms and healthcare service utilization through big data analysis

    3. Development of technology designed to improve disease management prognosis among older adults eligible for home care nursing service by integration of individual-generated health data with big data from electronic medical records

    4. Data-based environment improvement for residential environment safety and falls incidents, and provision and evaluation of a comprehensive fall prevention mobile program with walking and exercise training