Big Data and the Internet of Things have widespread implications not only for business models but individual privacy. Balancing the requirements of emerging business models that depend on personal information along with privacy compliance is becoming a more difficult task to manage. Nowhere is this more acute than in the healthcare industry, where vast amounts of patient data is collected and processed for various business activities and shared with researchers and business partners. The value and risk of big data in healthcare and other industries only increases as it is linked to create longitudinal patient records from which various insights can be derived.
This webinar is a discussion of the balance between privacy and the business requirements that are driving new applications for healthcare analytics. Join Privacy Analytics Director of Product Management, Pamela Neely Buffone, as she explores the risks and mitigation strategies for using and sharing this data. She examines different de-identification techniques that can be used to unlock sensitive data and become a trusted player in the emerging data economy. This includes best practices in health data sharing, various methodologies and practices that are shaping the future of big data analytics in healthcare.