Jordan Collins is a results-oriented, strategic leader with over 20 years’ experience in analytic functions focused on enabling data-driven decisions at an enterprise level. He is currently the General Manager of Privacy Analytics, an IQVIA company. Privacy Analytics enables organizations to unleash the value of sensitive data for secondary purposes while managing privacy considerations. Jordan has a PhD in Philosophy from the University of Auckland, an MA in Applied Statistics from York University, an MSc in Pure Mathematics from McMaster University, and a BSc (Hon.) degree in Mathematics from Mount Allison University. Jordan has a strong analytics background, starting his career as a statistician. He has deep consulting experience with an entrepreneurial bent, having stood up his own statistical consulting practice focusing on statistical applications in healthcare as well as industrial process and business optimization. For the past 10 years he has applied these analytic skills to technical privacy challenges globally.
Jennifer Geetter is a partner in McDermott Will & Schulte's DC office. With a practice focused primarily on the development, delivery and implementation of digital health solutions, data and research, Jennifer works closely with both adopters and developers to bring their innovative healthcare solutions to patients and providers. In order to design and deploy digital health technologies effectively, Jenn offers valuable guidance on key issues, like patient on-boarding, provider implementation, privacy and regulatory issues. She advises global life sciences, healthcare and informatics clients on legal issues attendant to digital health, biomedical innovation, research compliance, global privacy and data security laws, and financial relationship management.
Statistical de-identification is as much a tactical activity as a strategic one. Here are several concrete steps the regulated community can take to get the most out of statistical de-identification initiatives.