Artificial intelligence tools can help providers navigate the complexities of chronic disease management, leading to more effective, quality treatments.
When it comes to healthcare, it seems Americans spend more to receive less.
An aging population, expensive pharmaceuticals, and administrative waste result in sky-high medical costs, while health outcomes remain poorer than those in other high-income countries.
While many elements influence the country’s rising healthcare spending, the prevalence of chronic disease is perhaps the most significant factor at play.
Want to publish your own articles on DistilINFO Publications?
Send us an email, we will get in touch with you.
Chronic diseases are the leading causes of death and disability in the US, as well as 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 the midst of 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 involves multiple features – features that differ from patient to patient.
Genetics, lifestyle choices, and environmental factors can all contribute to the onset of chronic disease, as well as a patient’s or provider’s ability to properly manage these conditions.
With all of this data to consider, chronic disease management is a task perfectly suited for innovative technologies like artificial intelligence.
Organizations are increasingly leveraging AI to improve chronic disease management, drive down costs, and enhance patient health – eventually resulting in more personalized, data-driven care.
GATHERING DATA TO UNCOVER NEW INSIGHTS
In order to effectively manage or prevent chronic conditions, providers have to engage patients in care coordination and outreach as soon as possible. However, identifying patients at high risk of disease development is incredibly complex without the right tools in place.
This issue is exacerbated in conditions like chronic kidney disease (CKD), which can present in individuals without any real warning.
Source: Healthit Analytics
