How AI can be used to identify high-risk coronavirus patients


  • Published On  Mar 16, 2020
  • Publication  AI in Healthcare
  • Author  Amy Baxter

Excerpt

COVID-19 disproportionately impacts those with chronic conditions and compromised immune systems, as well as the elderly. These patients are known to have higher rates of complications and more severe illness ­­––even death –– when infected with COVID-19.

Medicaid patients are also some of the most vulnerable medical populations, potentially facing additional barriers to care and treatment for COVID-19, such as homelessness or lack of transportation. With these added challenges, Medical Home Network and CloseLoop.ai are leveraging a predictive health risk screening to identify Medicaid patients with the highest risks of the disease in Cook County, Illinois.

Medical Home Network is a not-for-profit collaborative that provides tools and processes for care teams to engage patients. MHN also has an ACO that is provider-owned, with members that include 10 Federally Qualified Health Centers, three hospital systems and their affiliated physician practices. MHN ACO provides care to roughly 120,000 Medicaid patients in Cook County, which includes Chicago. ClosedLoop.ai is a healthcare data science platform that provides predictive models for healthcare use.

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