Anomaly Detection in EHRs: Preventing Data Breaches
#Healthcare breaches are no longer isolated incidents, they are systemic risks. In 2025, nearly 275 million patient records were exposed, with significant financial and operational consequences per breach. The earliest signals are often behavioural, unusual login activity, sudden spikes in record access, bulk exports, or access outside a user’s role. #Anomalydetection learns normal #EHR patterns and flags meaningful deviations in real time, enabling faster response, stronger compliance oversight, and reduced breach impact. As healthcare data environments grow more complex, continuous behavioural monitoring is becoming central to resilient #dataprotection. Follow Healthark for deeper insights on securing healthcare data at scale.
