JMIR Publications

ABSTRACT

Thailand's accelerated population aging transformation, with 28% of citizens projected to reach 60+ years by 2030, requires innovative digital health solutions addressing family-centered care system with specialized service through interconnected sensor networks, machine learning systems, and cloud-based analytics infrastructure for revolutionizing elderly care provision. This investigation assessed viability and adoption patterns of interconnected sensors and machine learning technologies in Thai elderly care facilities using an integrated quantitative-qualitative methodology combining the Gerontechnology Adoption Framework (GTAF) and Service Exchange Value Creation Logic (SEVCL) with technology specialist assessments (n=12) and consumer evaluations across Bangkok and Chiang Mai (n=120). Technology assessment followed digital health evaluation protocols incorporating user experience testing, data protection impact analysis, and healthcare workflow integration assessment. Quantitative examination includes descriptive analytics, predictive modeling, and multi-criteria evaluation techniques while qualitative information underwent systematic thematic examination. Findings revealed that sensor-based fall prevention systems achieved superior therapeutic effectiveness scores (M=4.5/5.0, SD=0.3) with 89% adoption success metrics and favorable deployment complexity (M=2.8/5.0), demonstrating potential 25-30% emergency response cost reductions. The machine learning-powered early alert systems showed greatest clinical impact capability (M=4.7/5.0) with 30-35% hospitalization reduction potential and 76% user adoption despite deployment complexity (M=4.2/5.0). Digital health acceptance varied significantly by digital literacy levels, with high digital confidence participants showing 2.3x higher acceptance rates (p<0.001). Therapeutic gardens emerged as optimal sustainable intervention (M=4.8/5.0 benefit rating) correlating with 17% psychotropic medication reduction (r=0.78, p<0.001). Geographic preferences revealed Bangkok's preference for medical IoT technologies opposed to Chiang Mai's environmental digital solutions emphasis. Integrated smart technology implementation demonstrates simultaneous clinical outcome improvement and operational efficiency enhancement when properly configured for older adult populations. The success factors including phased IoT deployment, comprehensive digital health training, and human-technology balance with respecting cultural values, may provide a systematic implementation framework for digital health transformation in elderly care settings across developing nations.