Personalized Healthcare Solutions: A web Application for Enhanced Patient Care and Remote Monitoring Using AI

Personalized healthcare approaches are shifting the paradigms of patient care delivery since it depends on individual information for treatment planning and health monitoring over time. The Application developed for customized healthcare solutions provides for bespoke treatment plans, real-time health monitoring, and implementation of AI-driven analytics for predictive health assessment. This application empowers healthcare providers to extend personalized recommendation for treatment and enables true health tracking in patients, enhancing patient outcomes and effectiveness in healthcare delivery. This study discusses the benefits of personalized care for patients and healthcare providers, ranging from the improvement of diagnostic processes, which may lower costs for patients who are being treated, to the possibility of providing more accurate interventions. We also discuss significant challenges: concerning data privacy, integration challenges, and requirements for high-quality actionable data. More importantly, this paper addresses the relevance of genomic data and biomarkers in personalizing treatment decisions and the increasing use of artificial intelligence and machine learning in the development of more intelligent and efficient healthcare solutions. By addressing the opportunities and challenges associated with personalized healthcare, this paper highlights its relevance across diverse medical domains and its capacity to transform the future of healthcare delivery.