Explores strategies to protect patient privacy in linked healthcare datasets while enabling analytic value. Identifies rising risks of re-identification amid growing data breaches. Recommends de-identification practices, separation of identifiable assets, and surrogate identifiers. Emphasizes the role of governance frameworks, cross-functional oversight, and compliance with HIPAA standards. Suggests proactive education, automation, and auditing as essential. Concludes that strong governance enables safe, compliant, and effective use of real-world data for healthcare research.

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