Care Managers Streamline Risk Stratification & Prioritization As we noted in our former blog post on ways health plans are using data science to proactively identify high-risk diabetics in the COVID-19 fight, members subject to SDoH factors are similarly difficult to identify and prioritize in real-time. Inspecting COVID-19’s Impact on Members Affected by Social Determinants of Health Factors While social …
How COVID-19 Data Science Models Can Be Used to Reduce Care Costs for High-Risk Diabetics
Studies continue to confirm that diabetes is a serious risk factor among patients contracting COVID-19, contributing significantly to mortality and length of hospital stays. Because glucose levels begin to rise with the onset of symptoms and continue to elevate during infection, early COVID-19 diagnosis and treatment is critical to managing insulin protocols. As discussed in our last post, the virus’s …
Register Now For “Beyond SDoH…Leveraging Artificial Intelligence and Unconventional Data to Advance Care Management” – Hosted by ACAP and Vital Data Technology
June 16, 2020 | 2:00 PM in Eastern Time (US & Canada) Registration is open to all health plans. What We’ll Cover With extensive experience walking alongside Medicaid plans to improve care management, quality and risk, Vital Data Technology’s Matt D’Ambrosia, Chief Executive Officer, and Dr. Alan Spiro, Chief Medical Officer in Residence, share how plans can leverage artificial intelligence …
Vital Data Technology Leverages Data Science Models To Assist Health Plans Serving High-Risk COVID-19 Members
Health plans are actively seeking new ways to keep members healthy amidst the COVID-19 pandemic. Health insurers are looking to Vital Data Technology’s leadership in data science driven care coordination to help them identify at-risk populations and engage them to better handle the current care challenges. Vital Data Technology’s Data Science Models Used to Combat COVID-19 In collaboration with health …