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Powerful Analytics & Modeling Tools for Providers & Payers: Use Cases and Demos to Enable Operational Strategy

Financial planning and risk management are critical functions within payer and provider organizations. This capability is core to organization strategy and it has transformed in approach, accuracy, and agility with the advent of new access to population and patient-level data as well as powerful analytical tools.

Join us as we discuss how analytics and lead scoring help payer organizations predict and plan. We will show a demo that determines which leads are most likely to convert using machine learning models created in Einstein Discovery. We will step through how we integrate these statistical models into an actionable Tableau dashboard.

We will also discuss how analytics tools help provider organizations in their accounts receivable management. We will use Einstein Discovery prediction models to predict the likelihood a patient will pay on time and explore actionable recommendations to improve outcomes.

발표자 소개

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Takashi Binns

Principal Partner Engineer at Tableau
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Derek Cyr

Sales Consultant, Healthcare | Tableau

With over 20 years of experience deploying and consulting on analytics solutions (>10 years in Healthcare), Derek has a demonstrated history of setting strategy and improving business and clinical outcomes through leadership and analytics across multiple industries including healthcare, banking and direct marketing. Skilled in Business Process Improvement, Data Science, Analytics and Data Management, Derek has been an active Tableau user since 2011, has spoken at numerous regional and national conferences and possesses a Master of Science (MS) focused in Business Analytics and Information Systems from University of South Florida.

Ryan Milliron

Lead Solution Engineer - Tableau

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