In a recent APEX of Innovation post we examined how AI is being implemented in numerous healthcare settings today. In this blog, we’ll look at how analytics is being used extensively to enhance preventive health, including: 

Identifying Biomarkers 

Researchers from the Cleveland Clinic hope to use analytics to identify brain disease biomarkers early, thereby preventing neurological illness before the onset of any symptoms. The Cleveland Clinic Brain Study will gather data from up to 200,000 neurologically healthy volunteers over 20 years, and administer yearly assessments including neurological examinations, eye retina scans, brain MRIs, and sleep studies. The researchers will collect data points that will collectively create a trends line to capture the genetic risk factors for Alzheimer’s disease, multiple sclerosis, stroke, and other neurological diseases.

Finding Gaps in Chronic Disease Management Care 

Chronic disease management is another analytics use case, as clinicians may be able to identify high-risk patients and intervene to either prevent the illness from occurring or slow its progression. For example, AI is being researched for its ability to guide treatment decision-making through gathering, categorizing, and analyzing the massive amount of data generated through the treatment of various conditions. Click here for more on an Australian study investigating how analytics could aid in the management of type 2 diabetes. 

Enhancing Population Health 

Tackling population health management is a large-scale undertaking, and there are various analytics strategies providers are employing to address it. For example, some are using analytics to better understand patient metrics and develop risk scores for use in predictive models. This then provides insight into patient needs that providers can use to guide resource allocation and management. Others are moving toward value-based care, and using real-time data to enhance patient experiences, population health, and the costs of care. Analytics can also help providers identify and better address factors like the environment, social isolation, or food insecurity that ultimately affect treatment and care management.

For more on the above and other ways in which analytics is driving better preventive care, head over to HealthITAnalytics.