With recent advances focused on patient-generated data and a proliferation of available data types and potential sources, there is a growing demand to tokenize and link 'non-identified' patient data in the face of internal and external threats to this sensitive information. As a result, organizations must balance that risk against analytical objectives and apply various safeguards to help manage the process. Read this interactive e-book to learn what iterative steps you can take and what best practices you can apply to properly implement privacy controls within your organization by producing a separation framework that can help ensure an organization's privacy risk is minimized.
Harness the power of your data
Insights from your specialty pharmacy information
Leverage technology to maximize value and minimize risk
Unleash the power of your data across the enterprise