US$600

Medical Device Data Anonymization & Risk Methodology Course: Chicago June 1...

Event Information

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Date and Time

Location

Location

W Hotel - City Center

172 West Adams Street

Studio 2 Meeting Room

Chicago, Illinois 60603-3604

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Refund Policy

Refund Policy

Refunds up to 30 days before event

Event description

Description

Demonstrating the full value of medical devices through measurable patient outcomes, personalized treatment insights, and R&D initiatives requires careful consideration (beyond legal compliance under HIPAA, CCPA and GDPR). It’s a balancing act that’s essential in the face of growing public scrutiny, the changing legal landscape and the threat of market disruptors and insurgents.

The central question is how to use data in a way that protects individual privacy, while ensuring that it remains of sufficient quality for useful and meaningful analytics.

Our consistent answer is data de-identification.

The best way to responsibly share protected health information is by applying a risk-based de-identification methodology. Privacy Analytics is pleased to offer training that teaches medical device companies how to safely and securely share their data assets while minimizing the risk of re-identification.

It's an educational, pitch-free course gives you the chance to network with like-minded peers and discuss how to extract more actionable insight from your company’s data assets.

You'll learn a risk-based methodology that's consistent with best practices for anonymization. It has been applied for more than a decade globally to facilitate the sharing and secondary use of data.

The course structure consists of in-person lectures and hands-on exercises to allow participants to understand the steps and decisions that need to be made when implementing pseudonymization and anonymization methods.

Course Outline

Module 1 – Legal Considerations

Module 2 – Concepts and Definitions

Module 3 – Risk Measurement Concepts

Module 4 – Analysis of Context Risk

Module 5 – Data Transformation Methods

Module 6 – Risk Management and Reporting

Lunch and refreshment breaks will be provided on both days.

For additional details and course information, view the course flyer here.

Course Instructor
Luk Arbuckle

Advising healthcare enterprises topping the Fortune 500, Luk Arbuckle has co-authored books, scholarly journal articles and patents on re-identification risk and deidentification. He brings a decade of experience in the field of anonymization, and is co-author of Anonymizing Health Data: Case Studies and Methods to Get You Started (O’Reilly Media, 2013/2014).

Mr. Arbuckle is currently Chief Methodologist at Privacy Analytics. He was formerly Director of Technology Analysis at the Office of the Privacy Commissioner of Canada and Research Manager and Data Scientist at the Children’s hospital of Eastern Ontario (CHEO) Research Institute in Ottawa. He holds multiple graduate degrees and was awarded numerous scholarships and bursaries.

Technical Requirements

Laptop with permission to access remote desktop.

Contact Us

Questions? Email marketing@privacy-analytics.com

The training course is presented by Privacy Analytics and IQVIA. Basic registration information will be shared with Privacy Analytics and IQVIA in order to deliver the training course.

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Date and Time

Location

W Hotel - City Center

172 West Adams Street

Studio 2 Meeting Room

Chicago, Illinois 60603-3604

View Map

Refund Policy

Refunds up to 30 days before event

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