Chronic Patient Monitoring with AI: Enhancing Therapeutic Adherence and Quality of Life through Smart Devices and Health Apps

The chronic monitoring of patients has significantly evolved with the integration of artificial intelligence (AI) and digital technologies. In a context where chronic diseases such as diabetes, heart failure, and chronic obstructive pulmonary disease (COPD) require constant monitoring, the use of remote disease management has become an essential tool to improve therapeutic adherence and the quality of life of patients.

Diving Deeper into AI Monitoring

The integration of AI in remote patient monitoring has enabled significant advancements in the management of chronic diseases. For instance, in the field of diabetes, projects like DIABETe and Telesage have demonstrated improvements in blood glucose control and a significant reduction in HbA1c levels. These systems not only enhance clinical outcomes but also promote greater adherence to therapeutic measures and dietary hygiene.

In the management of hemophilia, platforms like HemPHL utilize personalized digital health technologies to facilitate self-management and home treatment, thereby improving clinical outcomes and the quality of life for patients. These health apps allow patients to access personalized information, fostering their engagement and independence.

Moreover, remote patient monitoring with AI integration has proven crucial in managing conditions such as heart failure and chronic pain. The ability to collect and analyze data in real-time enables timely and personalized interventions, thereby improving treatment outcomes and reducing the burden on the healthcare system.

Conclusions

The implementation of smart devices and AI systems in chronic patient monitoring represents a paradigm shift in healthcare. These advancements not only improve therapeutic adherence but also empower patients, allowing them to take an active role in managing their health. As these technologies continue to evolve, it is essential for healthcare professionals to stay informed about the latest innovations to optimize patient care.

Referencias

• [1] Telemonitoring in diabetes: evolution of concepts and technologies, with a focus on results of the more recent studies.
• [2] HemPHL: A Personal Health Library and mHealth Recommender to Promote Self-Management of Hemophilia.
• [3] Beyond the Pain Management Clinic: The Role of AI-Integrated Remote Patient Monitoring in Chronic Disease Management - A Narrative Review.

Created 20/1/2025