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17 May 2021Ended

Using Predictive and Prescriptive Analytics to Manage the Health Impacts and Costs of Chronic Conditions

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upto 100
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May 2021

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The pandemic has underscored the importance of care management for chronically-ill patients. Moreover, there is now mounting evidence that many .. Read more individuals have deferred care during the pandemic, with studies showing that more than 75 percent of adults who have delayed or foregone care had one or more chronic conditions. Learn how using leading-edge data science and a variety of artificial intelligence (AI) techniques is enabling health plans and their value-based provider partners to identify, stratify, and predict high-cost patients and conditions to target timely interventions to high-risk, rising-risk, and the most impactable members. She works directly with healthcare organizations to create and implement their population health and care management strategies. Prior to Geneia, Natalie served as director, care transformation for a population health analytics company providing clinical and implementation workflow consultation. With more than 25 years’ experience, Natalie’s tenure has been leadership roles in home health and disease management focused on quality and clinical program development. Prior to joining Geneia Jasmine was a Fellow with the Insight Health Data Science program, where she generated predictive models for identification of Parkinson’s disease in patients.

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