The study derives a 10-item readiness checklist from scoping synthesis and shows that rule-based detection plus Isolation Forest with SHAP explanations can balance high recall against lower alert volume in simulated cross-provider EHR audit logs.
Nagarajan Venkatachalam, whose timely feedback and supervision shaped the study’s scope, methods and presentation
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Adoption and Effectiveness of AI-Based Anomaly Detection for Cross Provider Health Data Exchange
The study derives a 10-item readiness checklist from scoping synthesis and shows that rule-based detection plus Isolation Forest with SHAP explanations can balance high recall against lower alert volume in simulated cross-provider EHR audit logs.