Operational data lives across claims, enrollment, billing, care, and member-service systems, and no two teams are working from the same numbers. What if every decision drew from one live, shared view?
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Key Takeaways For health plans, the implementation period is one of the highest-risk, highest-stakes phases of any technology investment—and AI can significantly reduce that risk. HealthEdge...
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How behavioral health, program integrity, end emerging CMS priorities are reshaping health plan operations
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HealthEdge Source™ Ranked Best in KLAS for Pre-Payment Accuracy and Integrity Solutions (Payer)
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Haven is built on GuidingCare's native data model, no data leaves the platform, no third-party needs to learn your members. The intelligence is already inside your system.
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This is part 3 of a blog series on Ethical AI. For context on this series and why we’re writing it, see our introduction in part 1, Ethical AI: Privacy and Security. How Can Payers Address Bias in...
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Introduction This is part 2 of a series on Ethical AI. The content was adapted from an internal learning and development session developed by the Machine Learning Engineers at HealthEdge®, focused...
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Key Takeaways Post-hybrid review is a critical audit readiness phase: Success depends on strong documentation workflows, accurate validation, and timely support for auditor requests. Centralized...
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Healthcare consumers are changing how they seek information, and increasingly, they are turning to artificial intelligence to do it. Tools powered by generative AI, including platforms like...
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