Applying Artificial Intelligence to Chronic Disease Management

Applying Artificial Intelligence to Chronic Disease Management

Posted Jan 8, 2021 from
Community%20of%20Practice/Join/green?scale=1.5


While many elements influence the country’s rising healthcare spending, the prevalence of the chronic disease is perhaps the most significant factor at play.

Chronic diseases are the leading causes of death and disability in the US and the main drivers of the country’s $3.5 trillion in annual health costs.

Conditions like diabetes, cancer, and kidney disease take a massive toll on healthcare spending and patient outcomes, making chronic disease management and prevention top priorities for providers across the nation.

In a global health crisis, these efforts have become even more consequential. Evidence has shown that underlying chronic diseases can lead to poorer outcomes in people infected with COVID-19, putting further strain on the healthcare system.

However, managing and preventing chronic conditions in patient populations is a time-consuming, challenging task. The development and treatment of chronic diseases typically involve multiple features that differ from patient to patient.

Continue reading at

Did you find this useful? Like

See Topics


Next Article