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While technology is an important enabler of data de-identification, technology is not the end of the story. Effective de-identification at an enterprise level is as much about governance as it is about technology. Accounting for risk in a de-identification solution is critical to achieving the right level of de-identification and resulting data utility, which influences the analytic outcomes.

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De-identifying Unstructured Data to Enable Health Analytics. According to one organization, 80 percent of medical record data will be unstructured within the next two years. 

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Recent policy changes by Europe’s regulatory authority for drugs and devices has rekindled the pharmaceutical industry’s focus on clinical trials transparency.

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In the specialty pharmaceutical industry, patient privacy is crucial. Privacy can be a challenge for companies looking to gather and consolidate patient information from various sources.

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