Use Case: Intelligent Registries THE PROBLEM Many healthcare organizations (e.g., providers, payers, life science companies) have made significant human, financial, and technology investments in patient registries (e.g., state, national). These investments are focused on manual data abstraction (e.g., from electronic health records), data integration, registry data submission and reporting, and analytics to measure clinical effectiveness, quality, safety, and outcomes for specific disease states and conditions. Healthcare organizations devote a significant amount of time and energy to satisfy their registry submission and reporting requirements. The list of necessary activities, typically completed by an organization’s quality departments and registry teams, includes manual data a

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