AINeutralarXiv – CS AI · 14h ago6/10
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Adoption and Effectiveness of AI-Based Anomaly Detection for Cross Provider Health Data Exchange
A research study presents a readiness framework and practical deployment strategy for AI-based anomaly detection in multi-provider healthcare environments. The research combines organizational assessment criteria with machine learning performance evaluation, demonstrating that hybrid rule-based and isolation forest approaches optimize both detection coverage and alert efficiency in cross-provider EHR systems.