Adoption and Effectiveness of AI-Based Anomaly Detection for Cross Provider Health Data Exchange
This study investigates the adoption and effectiveness of AI-based anomaly detection in cross-provider electronic health record (EHR) environments. It aims to (1) identify the organisational and digital capabilities required for successful implementation and (2) evaluate the performance and interpretability of lightweight anomaly detection approaches using contextual audit data. A semi-systematic scoping synthesis is conducted to derive a four-pillar readiness framework covering governance, infr
Record details
Published: 19 March 2026
Source: arXiv
Category: Research
Topics: Regulation · Safety & alignment · Healthcare · Transparency
Retrieved: 14 July 2026
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ethics.ai (19 March 2026), “Adoption and Effectiveness of AI-Based Anomaly Detection for Cross Provider Health Data Exchange,” evidence record 6998, https://ethics.ai/record/6998 (originally published by arXiv).
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