Administrative Data Analytics at Alberta Health

23 January 2019
Edmonton, Alberta

Analytic work at Alberta Health can be stratified into three classes: Descriptive, Predictive, and Prescriptive. The Advanced Analytics team uses all analytic levels to best inform decision makers. This session will begin with an overview of Alberta Health data assets, discussing how these are leveraged through linkage and transformation. Next, examples of how administrative data can be used for predictive and prescriptive modelling will be introduced, with a focus on health economic evaluations. Finally, issues around performance of inputs and parameters from administrative data will be discussed, with implications for best practice.

Administrative Data Analytics at Alberta Health


Erin Kirwin Profile PictureErin Kirwin holds a Master of Arts in Economics from the University of Alberta, and a Bachelor of Arts in Economics and International Development Studies from McGill University. She leads the Advanced Analytics team at Alberta Health, and has held the position of Public Health Economist with Alberta Health since 2011.

At Alberta Health, key areas of work include cost effectiveness evaluations, policy impact and resource allocation simulations, and cost of illness. Erin is also a member of the Canadian Chronic Disease Surveillance System Economic Working Group, Canadian Immunization Research Network, and sits on the Alberta PROMs and EQ-5D Research and Support Unit Scientific Advisory Committee.

The Network of Alberta Health Economists and the NOAHE Health Economics and Technology Assessment Rounds are supported financially and in-kind by Alberta Health, through the Health Funding and Economics Capacity (HFEC) Grant. Please note that the views expressed in this series and other deliverables associated with NOAHE are not necessarily representative of any particular organization involved.