Over the last few months, we have been delivering our training course on the assessment of privacy risks, anonymization, and synthetic data. With multiple factors converging to increase the demand for, and risks of, using and sharing data,?it is clear that a?better understanding of risk management techniques is necessary. During the course we cover our Cardinal methodology in detail and provide hands-on exercises to practice the risk assessment, synthesis, and anonymization steps, which the attendees have found to be very meaningful.
The full course qualifies for IAPP CPE credits. The next one will be in Washington DC at the same time as the IAPP Global Privacy Summit. The one after that, and last one in this series, will be in Barcelona in April.
Read these testimonials from participants of our popular?Practical Methods of De-identification and Anonymization for Health Data?Training Course:
- ?“A multi-disciplinary approach on a complex topic, interspersed with real-life scenarios. The instructors are very experienced and authority figures in the field.”?- Data Architect, IT company
- ?“As an executive it is very important to know about these methodologies and best practices in the field of data”?– Senior Executive,?AI?and Data Authority
- ?“It's effortless to follow whatever the instructor explains, even for someone less familiar with this field. The practical, real-world examples woven into each explanation make it plain that they have years of experience. I got a lot out of the course!”?- Senior Data Scientist, Global Pharmaceutical company
- “An excellent 1.5-day course with skilled instructors who have published extensively on the topic. The best part was being able to apply what we learned using sample datasets in various exercises. Highly recommend!!!”?- HEOR & RWE Director, Biotech
- “This course presents not only the concepts and methods relevant to healthcare data de-identification, but also includes multiple hands-on exercises to help the attendees to gain better understanding of the subject. The instructor is very knowledgeable and presents the materials clearly and effectively.” - Principal Data Analyst, International Health Data Provider
- On February 21st, an article titled?Synthetic data puts privacy at the heart of AI projects?ran in the Globe and Mail, which is one of Canada’s main national newspapers. We were among those interviewed. In it, we explain how the technology works and how synthetic data maintains data utility and preserves privacy. The article is a good summary?and alsohighlights some of our work with Health Cities in Alberta. Read it here.
- We are sharing our expertise in synthetic data generation through a series of new introductory articles being published by?OneTrustDataGuidance?and accessible to users of this privacy research platform. We will also be publishing the articles ourselves on our website in due course. If you are a?OneTrust subscriber, you can read the first in the series, titled?What is Synthetic Data and How is it Generated?, at this link. The second article?Why is Synthetic Data Used ??is also now available here.
- As co-editor-in-chief of JMIR AI, the new peer reviewed journal focused on research and applications for the medical AI community, the journal has recently published articles on TB medication adherence, predicting patient mortality using claims data, health equity, patient perspectives on AI, and applications of NLP models. All articles are available here.
- From March 22-24, we will be at the?DIA Europe 2023?conference in Basel Switzerland. DIA Europe is a key event in the life sciences industry and a knowledge hub between science,?healthcare?and regulation. If you’re planning to go, swing by booth 43. If you’d like to meet with our team to chat about solutions to your data access and sharing challenges, please reach out. For details visit this page.
- Our series of training courses on Practical Methods of De-identification and Anonymization for Health Data?has been a great success and continues to be held in different locations. Participants are keen to learn multiple practical and innovative data transformation techniques, such as risk-based methods and privacy-preserving synthetic data generation, to help comply with HIPAA and GDPR requirements. The course also focuses on privacy risk assessment and management methods and exercises. It is suitable for CPOs, DPOs, CDOs and data analytics leaders and is applicable beyond health.?Join our next cohort, April 6 in Washington, DC, in parallel with the IAPP Global Privacy Summit. If you’re in the EU, sign up for our training course April 24-25 in Barcelona.?Reserve your spot from here.
- If you are looking for a shorter, higher-level overview of de-identification, we will be delivering a 90-minute session in DC on April 3rdthrough the Future of Privacy Forum, prior to the Global Privacy Summit. Sign up for?FPF Training: De-identification?here.
- You won’t want to miss our April 11th webinar,?A Review of the New ISO Standard on Data De-identification: ISO/IEC 27559. We will give an overview of the brand-new standard, discuss key concepts, and show how its principles can be operationalized, using examples on the de-identification of health data. Register for this free webinar here.
- We’re looking forward to participating in the IAPP Canada Privacy Symposium this Spring. On May 25th?I will be on a panel,?More?than a PET Project – the Legal, Technological, Industry and Regulatory, with other experts including Fahad Diwan from EY, Teresa?Scassa?from the University of Ottawa, and Christopher Parsons from the Office of the Information and Privacy Commissioner of Ontario. On May 26th,?during the event’s closing general session, I will be joining federal Privacy Commissioner Philippe Dufresne, Chief Statistician Anil?Anora, Ontario Information and Privacy Commissioner Patricia Kosseim, and Dentons’ co-chair of Global Privacy and Security, Chantal Bernier, for an exciting panel conversation titled?The Next Privacy Challenge: Optimizing Data While Protecting Fundamental Rights. If you’re going to IAPP in Toronto, I look forward to connecting with you. Find more information on the program here.
- Now, a look back at events from the past month. On March 9th, in partnership with the Drug Information Association (DIA) we held a webinar titled?Privacy Protective Sharing of Health Datasets using De-identification and Synthetic Data Generation. Lucy Mosquera?described an end-to-end solution for evaluating and mitigating privacy risks in health datasets, with plenty of relevant use cases. Learn about technologies such as re-identification estimation, risk-based de-identification, and synthetic data generation.?Watch for a recording to be posted soon on the DIA website here.
- ?Also?on March 9th?we held an EHIL webinar,?Synthetic Data Use: Exploring Use Cases to Optimize Data Utility. Stef James from AstraZeneca anchored the presentation on their recent paper describing use cases for synthetic data generation in the pharmaceutical industry. Read that paper here. The webinar recording and materials will be posted on-line very soon.
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