The Effective Role Of AI In Chronic Care Management

The growing prevalence of chronic disease among US adults
leads the numerous commercial health plans to introduce chronic care management
programs. While a lot of factors are influencing the country’s rising
healthcare spending, chronic care management remains a hot and most significant
factor at play.

The COVID-19 pandemic has not just put the world’s
healthcare down, but also created a huge shortage of healthcare providers,
hospital beds, nurses, and other medical facilities. As the coronavirus has
forced billions of people to stay locked in their homes, the only solution for
chronic patients is to get digital healthcare remotely. Advanced technologies
like artificial intelligence, remote patient monitoring are helping physicians
to deliver quality healthcare to their patients remotely. In this article, we
explain the role of AI in chronic care management.

The Importance Of Chronic Care Management

Chronic Care Management (CCM) is a coordinated care approach
to deal with chronic conditions that are industrious or in any case durable in
their effects. As per the US Centers for Disease Control and Prevention,
chronic conditions, for example, heart disease, asthma, joint pain, and
diabetes nearly affect about half of the adults. Diabetes and heart disease are
two of the costliest and most common ongoing conditions affecting patients in
the US, driving the medical services industry to go through billions
consistently to treat and deal with these problems.


The Role Of AI To Overcome CCM Challenges

Artificial intelligence has demonstrated an expansion in
profitability and development in different areas, including manufacturing,
auto, and retail ande-commerce. It can build the effectiveness with which
things are done, incomprehensibly improving the dynamic interaction by
investigating a lot of information. The role of AI in chronic care management
can be extremely useful in giving a coordinated care approach needed to oversee
chronic conditions.

Apart from the high healthcare costs, the top challenges in
chronic care management include screenings, registration, observing and
planning therapy, and patient training. Nothing can supplant clinician judgment
in patient consideration, however, new information-driven innovations, for
example, AI are helping advance conveyance of the effective care, to the
correct patient, at the ideal time.

As care delivery keeps on developing from responsive
sickness therapy to proactive, preventive consideration, more associations are
glancing toward digitization in medical care with cutting-edge innovations such
as AI and machine learning to help with reaching actionable results from their
large data resources.


Data Collection To Discover New Insights

With the development of digital platforms where health data is being collected from various resources throughout the patient life cycle – including hospital EHR systems, mobile applications, patient portal software, and healthcare wearables. We have a huge set of data on patient healthcare plans, patient medical history, and reported outcomes. This kind of data can generate new insights and opportunities for affordable and easily accessible health with the help of AI in chronic care management.

To prevent chronic conditions effectively, healthcare providers need to engage their patients in care coordination and outreach them as soon as possible. However, identifying patients at high risk is seriously a complex task to achieve with the right tools in place. CapMinds chronic care management solutions will help you to flag patients by health conditions and effectively assign electronic care plans.

AI In Chronic Care Prevention

Aside from aiding patients whenever they are determined to
have an ongoing illness, AI innovation can even do early discovery of infection
signs in patients before they become persistent. AI-based ML models can assist
health suppliers with recognizing patients who are in danger for heart disease,
hypertension, and pre-diabetes, taking into consideration early intercession
and preventive care procedures.

Artificial Intelligence can likewise be essential in
forestalling the hospitalization of existing constant patients who are
experiencing the treatment. Consistent checking of patient vitals alongside
drug adherence by an AI-based framework can distinguish the chance of breaking
down conditions, thus requiring hospitalization.

Final Thoughts

Managing and preventing chronic care conditions in patient
populations is a time-consuming and challenging task for healthcare providers.
The right way to overcome those challenges is to switch to advanced AI

Today most healthcare organizations are started adapting to AI to improve chronic care management, enhance patient health, and cut down healthcare costs resulting in more personalized care. Searching for the best chronic care management services for your healthcare practice? We expand your CCM program with minimum investment and deliver effective results in terms of revenue.

About The Author

Author: Pandi Paramasivan

Pandi is the founder and CEO of CapMinds, a cutting-edge healthtech company dedicated to empowering individuals to take control of their well-being. Under his 13 years of leadership, CapMinds has completed more than 100 healthcare projects that include customization and integration for OpenEMR, HL7 FHIR, Mirth Connect, Telehealth, Remote Patient Monitoring, Connected Health, and more.

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