AI-powered wearables for continuous patient monitoring: Improving chronic disease management and preventive Care

5^th International Congress on AI and Machine Learning

December 09-10, 2024 | Dubai, UAE

Manoj Kumar

Concepts IT Inc, USA

Scientific Tracks Abstracts: J Comput Sci Syst Biol

Abstract :

AI-powered wearables, which encompass a range of devices such as smartwatches and fitness trackers, are currently transforming the landscape of patient care through their remarkable capability to monitor vital signs continuously and in real-time. These advanced wearables are designed to track critical health parameters, including heart rate, blood pressure, glucose levels, respiratory rates, and physical activity. By collecting this comprehensive data, healthcare professionals gain invaluable insights into their patients' health conditions, enabling more informed decision-making regarding individual care plans. The continuous stream of data provided by these wearables facilitates the early detection of anomalies in a patient's vital signs. This means that healthcare providers can identify potential health issues before they escalate into serious medical emergencies. For instance, by monitoring a patient's heart rate and blood pressure trends, a wearable device can alert doctors to any concerning changes that may indicate the onset of conditions like hypertension or heart disease. Additionally, these insights are crucial for managing chronic diseases such as diabetes and cardiovascular disorders, as they allow for personalized treatment strategies that can be adjusted in real-time based on the patient’s current health data. Moreover, sophisticated AI algorithms analyze the data collected by these wearables to proactively foresee potential health risks. By leveraging machine learning and predictive analytics, these algorithms can detect patterns that may signal looming health crises, such as diabetic emergencies or heart attack risks, thereby enabling timely interventions. For instance, if a patient's glucose readings begin to fluctuate dramatically, the system can prompt the user to take appropriate actions, such as administering insulin or adjusting dietary intake. Empowering patients to take an active role in managing their health conditions, AI-driven wearables not only enhance the quality of care but also significantly reduce hospital readmissions. When patients have access to real-time health information and alerts, they are better equipped to make informed decisions about their health, which can lead to a decrease in emergency room visits and hospital stays.

Biography :

Manoj Kumar is a dedicated Business Analyst with over 9 years of experience specializing in analyzing and optimizing operational processes for healthcare insurance companies. His expertise focuses on enhancing efficiency, ensuring compliance, and driving customer satisfaction. With a deep understanding of the insurance industry, Manoj excels in data analysis, claims management, policy administration, and regulatory compliance. In his role, he collaborates closely with stakeholders across underwriting, claims, product development, and IT teams to streamline business processes, enhance reporting capabilities, and align operational strategies with evolving market demands and regulatory standards. His knowledge of healthcare insurance models, including PPO, HMO, and value-based care, enables him to design data-driven solutions that foster operational improvements and support sustainable business growth. Manoj's work centers on leveraging insights from complex healthcare data to drive informed decision-making, reduce costs, and enhance experiences for both members and providers. Thriving in fast-paced environments, he is passionate about helping healthcare insurers navigate industry complexities while staying ahead of regulatory and market changes.