Managing Healthcare Using Artificial Intelligence

As the global population ages, the demand for innovative healthcare solutions tailored to the needs of elderly individuals has become increasingly urgent. This research explores a novel elderly patient monitoring system powered by artificial intelligence and wearable technology, designed to enhance healthcare delivery for seniors with chronic conditions. Utilizing a mixed-methods approach, the study examines the system's effectiveness in improving patient satisfaction, medication adherence, emergency care utilization, and overall health outcomes. A total of 150 elderly participants were recruited and divided into an experimental group, utilizing the monitoring system, and a control group receiving standard care. Key metrics were evaluated over six months, revealing significant improvements in the experimental group, including a patient satisfaction score increase from 6.5 to 9.1, a reduction in average monthly emergency visits from 3.2 to 1.0, and a medication adherence rate rising from 70% to 92%. Additionally, the monitoring system led to a decrease in readmission rates and improved mental health outcomes. These findings underscore the potential of integrating technology in elderly care, fostering proactive health management and enhancing communication among patients, caregivers, and healthcare providers. This research highlights the need for continued innovation in healthcare delivery systems for seniors, ultimately promoting better health outcomes and quality of life for an increasingly aging population.