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A blog based on git sure feels nice1h ago Decision AI Models Explained: TypeSafe Jev vs Fastino GLiDE, GLiNER2.5-Decide and Open-Source Competitors2h ago Executive Order On Renaming AI To ‘Super Intelligence’ Signals Unexpected Legal Bumps Ahead2h ago Eliza review – an ambitious, unsettling play about the birth of AI3h ago Reviewing my LessWrong post history with Claude3h ago Low-Background Minds3h ago Report: Anthropic targets pre-Thanksgiving IPO launch, despite warning of AI’s ‘existential risks’4h ago FEATURE: Fukushima firm uses decommissioning know-how to develop AI robots4h ago Your AI Agents Can Write Code. Can They Understand Your Business?4h ago Meta open sources code to let you make Muse AI gadgets4h ago Robotics AI developer FieldAI reportedly raising $700M in funding5h ago Japan's entertainment robots diversify with AI, offer comfort6h ago OpenAI safety leader David Robinson resigns as the team's upheaval mounts6h ago Apple to Tighten Mac Data Controls in Guard Against AI Agents6h ago

Healthcare Machine Learning7 min reading time

Health insurer points finger at AI as nearly $1 billion in questionable hospital charges appear

CNBCPublished 2 days ago

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Hospitals' use of AI-assisted medical coding has led to nearly $1 billion in extra costs for Blue Cross Blue Shield health plans from 2023 to 2025, largely due to AI identifying secondary diagnoses that increase reimbursement but often do not change patient care.

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Insurers claim AI is already increasing healthcare costs
6d· TechCrunch

#blue-cross-blue-shield-association #health-insurance #medical-billing

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