Title: Intelligent Real Time Monitoring and Care Giver Support System for People with Mental Health Disorders
Authors: William Lucas Mashimba , Edga Zakayo Listoni , Baraka Fredrick Mushi , Eva Kutela , Henery Chiligati , Ester Jonathan , Elias Panjiga , Abdallah Ali .
Volume: 10
Issue: 2
Pages: 37-41
Publication Date: 2026/02/28
Abstract:
Mental health disorders have become one of the most significant public health challenges of the twenty-first century, affecting individuals across all age groups and social categories. The impact of these disorders is multidimensional, touching not only the patient but also families, caregivers, workplaces, and national health systems[1]. In many low- and middle-income countries, the number of psychiatrists, psychologists, and mental health nurses is extremely small compared to the growing number of patients. As a result, the responsibility of daily supervision is shifted to family members who rarely possess professional skills or technological support. At the same time, the rapid development of Internet of Things technologies, wearable sensors, mobile communication, and artificial intelligence has introduced new possibilities for remote health monitoring[2]. These technologies can observe behavioral and physiological changes, recognize emergencies, and transmit alerts instantly to caregivers regardless of distance. This review paper examines in depth the concept of an intelligent real time monitoring and caregiver support system designed for people with mental health disorders[3]. The paper explores the background of mental health care, the difficulties faced by caregivers, and the technological opportunities available for addressing these challenges[4]. Existing approaches such as mobile health applications, GPS tracking, fall detection systems, and behavioral analytics are critically discussed. Furthermore, the review analyzes social, ethical, and practical considerations that must be respected when designing such systems, including privacy, consent, affordability, and cultural acceptance[5]. The review concludes that an integrated, locally adaptable monitoring system can play a transformative role by improving patient safety, reducing hospital readmissions, and strengthening the relationship between patients, families, and health professionals[6].