Evaluating the Role of Informatics Systems in Early Detection and Monitoring of Dementia Progression

Dementia is a progressive neurodegenerative disorder that impairs cognitive function, memory, and daily activities, posing significant challenges for patients, caregivers, and healthcare systems. Early detection and continuous monitoring of dementia progression are essential for timely intervention, improved quality of life, and effective disease management. The objective of the research is to evaluate the role of informatics systems in the early detection and monitoring of dementia progression, particularly in rural populations. Clinical, behavioral, and lifestyle data from 486 dementia patients were efficiently collected and analyzed using SPSS software. The statistical methods applied included descriptive statistics, t-tests, chi-square tests, correlation, and regression analysis. The findings identified education level, sleep quality, psychological factors, behavioral patterns, and caregiving practices as significant influences on dementia progression. Patients with no formal educational attainment experienced a 10.3% faster cognitive decline than those with higher education. Structured caregiving while poor sleep increased cognitive decline by 32.9%. Additionally, depression accelerated deterioration by 35%, whereas low activity and moderate engagement slowed by 37.0% respectively. The statistical tests reveal relationships between key analysis variables and the progression of dementia. Decreased education and poor sleep quality hastened cognitive decline in cases of degenerative and vascular dementias. This research highlights the critical role of informatics systems in enhancing dementia diagnosis, facilitating personalized treatment, and improving long-term disease management through advanced data analysis and monitoring technologies.