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From Data Chaos to AI Confidence tells the story of a fictitious healthcare organization - Northcross Health Alliance. This struggling midwestern hospital system launches an ambitious AI initiative called Project Athena, only to discover their data foundation is dangerously unprepared. Through the eyes of external consultant Jordan Reeves and a cast of healthcare executives, the book chronicles their 11-chapter transformation from operational chaos to governance maturity.

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This is not a technical manual. It's a business narrative that reveals how fragmented data, missing governance, compliance gaps, and cultural resistance create hidden risks that undermine AI investments. Each chapter tackles a specific crisis: AI misdiagnoses, security breaches, audit failures, shadow AI proliferation, and shows how leadership learns to build accountability, transparency, and trust.

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👥 WHO THIS BOOK IS FOR:

Healthcare executives and senior leaders who:

• 🚀 Are launching or scaling AI initiatives

• ⚠️ Feel pressure to “do AI” but sense their data isn’t ready

• 🤝 Struggle to align clinical, IT, compliance, and security teams

• 📊 Need to explain AI risks to boards without causing panic

• 🛡️ Want governance frameworks that protect patients and organizational trust

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