PRIVACY ANALYTICS a QuintileslMS company CASE STUDY OVERVIEW The Challenge: Enable discussions on evidence-based privacy risk levels when sensitive data is requested by researchers, government agencies and other health organizations. Subsequently, enable the sharing of EMR and population-based birth data in order improve maternal health care. The Solution: Integrate a proven de-identification software system with BORN’s Information System (BIS) that can assess the level of privacy risk and then de-identify the data using a globally accepted standards and guidelines. The Benefit: Researchers and health­ care decision-makers now have access to high quality data that they can use to support performance measurement, quality improvement, answer policy question

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