Neurocern Demonstrates $370M in Savings for Medicare and Health Insurance Using Artificial Intelligence and Data Analytics Targeted at Alzheimer’s Disease Drug Eligibility
Neurocern announced today a savings outcome of
As new disease modifying treatments for Alzheimer’s disease continue to emerge, Medicare and private health insurance plans need data-driven methods to screen, identify, and guide patients to appropriate treatment pathways.
Using insurance claims and population health data, Neurocern’s AI engine was able to identify eligible patients for new treatments for Alzheimer’s more accurately than a general physician. This data-driven approach reduced time to diagnosis by flagging and routing patients to the best treatment pathway based on
“AI has the ability to identify and get patients to treatment faster resulting in better clinical outcomes and significant financial savings for Medicare, private health insurers, and the consumer,” said Dr.
Results from the study, “Bridging the Gap Between Medicine and Insurance: How to Leverage Data, Artificial Intelligence, and Neuroinformatics for Insurance and Financial Risk Management,” were published in the
“The ability to generate insights from AI to drive appropriate and cost-effective cognitive health care fills an urgent need, given the paucity of trained subspecialists amidst a growing number of at-need patients. Expert systems powered by semantically normalized, complete and timely clinical data could revolutionize neurocognitive care while reducing costs,” said co-author Dr.
About Neurocern
Neurocern is a minority female physician-founded, and veteran-owned AI and neuroinformatics company that uses clinical analytics to compute data from multiple structured sources, including electronic health records, prescription data, and insurance claims data for clinical and financial insights.
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Source: Neurocern


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