Identifying $20M in Uncaptured HCC Revenue with Artificial Intelligence and Suspecting Analytics

In a new study, Neurocern AI identifies patients who have a high probability of cognitive impairment earlier and more accurately than a typical doctor, translating to more than $20M in uncaptured HCC revenue per 100,000 patients.

In the United States, for every 100 Medicare patients aged 65 and over, approximately 20% have some type of cognitive impairment. Out of these 20 patients, a typical doctor will only diagnose and record seven — or 35% — of these patients in the electronic medical record.

For the remaining patients with cognitive impairment that has been missed by their physician, they are relegated to the background until their symptoms progress to a point at which they become severe, and a diagnosis can more easily be made. For insurance carriers, these undiagnosed cases represent missed opportunities to more accurately calculate financial risk and mortality related to cognitive impairment — the sixth leading cause of death and a top three mortality assumption in actuarial modeling. 

Using non-invasive data processing techniques and advanced artificial intelligence, Neurocern’s AI was able to identify over 90% of patients with a high likelihood of having cognitive impairment that would otherwise be missed, translating to more than $20M in uncaptured HCC revenue for small health plans.

Neurocern’s AI outperformed primary care providers and other leading analytics vendors by identifying the vast majority of undiagnosed patients in the Medicare population earlier and more accurately. This finding has significant financial implications for Medicare Advantage plans and Accountable Care Organizations across the United States. 

To learn more, check out our latest white paper, “Neurocern in Action: Identifying Uncaptured HCC Revenue with Artificial Intelligence“.

Interested in applying Neurocern’s advanced analytics to your organization’s data? Reach out to our team.