How to Ensure Sensitive Patient
Data Privacy in Clinical Trials?
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Introduction

This playbook explores how Straive’s AInonymization helps pharmaceutical companies ensure sensitive patient data privacy in clinical trials. It offers a step-by-step guide to anonymization techniques, regulatory compliance, and AI-driven automation—enabling data security and integrity while maintaining usability for insights, even across complex, cross-border data environments.

About the Playbook

Straive’s playbook on patient data privacy in clinical trials provides a comprehensive guide to safeguarding sensitive information using advanced anonymization techniques. Designed for pharmaceutical companies, it addresses regulatory compliance, automation, and data utility—empowering organizations to maintain privacy without compromising the value of clinical data.

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Identify Sensitive Data: Classify PII and PHI through audits to map data exposure risks.

Apply Effective Anonymization: Use masking, tokenization, generalization, and perturbation to protect data.

Automate for Scale: Integrate AI tools into pipelines for efficient, scalable anonymization.

Preserve Data Utility: Ensure anonymized data remains accurate and representative for analysis.

Ensure Compliance & Partner with Experts: Implement strong security practices and consult industry specialists like Straive for robust privacy solutions.

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