Integrating Artificial Intelligence with Digital Health Platforms for Predictive Analytics to Enhance Patient Outcomes in Chronic Disease Management and Personalized Healthcare

Abstract

Putting artificial intelligence (AI) into digital health systems could make a huge difference in how well people with chronic diseases are managed and how they get personalized care. When these advances come together, they make prescient analytics conceivable. These can discover wellbeing dangers ahead of time, make measures more successful, and make treatment plans way better. AI programs can discover designs and patterns that people might miss by utilizing colossal sums of persistent information, such as hereditary data, electronic wellbeing records, and yields from savvy gadgets. Prescient models can tell when a malady will get more awful, offer ways to keep it from getting more regrettable, and make care plans that are particular to each person's wellbeing. This combination not as it were makes early intercession less demanding, but it too permits for consistent following and real-time changes to treatment plans, which makes it less demanding to require care of long-term conditions like asthma, diabetes, and heart infection. This lets specialists make care plans that are special to each quiet and take under consideration their genes, habits, and the environment they live in. Using AI in digital health platforms also gets patients more involved by giving them useful information about their health and by pushing them to stick to their treatment plans through personalized alerts and teaching material. Even though the benefits look good, problems like data protection, algorithmic bias, and the need for strong evaluation of AI tools must be fixed to make sure they are used safely and fairly in healthcare situations. Also, healthcare companies, technology makers, and regulatory bodies need to work together to set up standard procedures and models for integrating AI solutions. The combination of AI and healthcare is expected to change the way chronic diseases are managed and personalized care is given, which will eventually lead to better patient results and a more efficient healthcare system. This all-around method not only gives people more power, but it also gives doctors and nurses new tools to give better, more personalized care. This is the first step toward a future where healthcare can both predict and stop problems before they happen.