THE BIG MACHINEHEALTHCARE BUILT TO LEARN

OBJECTIVESTo explore the challenges of building “The Big Machine” - the mechanisms that enable the use of big data to improve healthcare.

To build academic and industrial partnerships to develop solutions to maximize discoveries from the data generated by the healthcare system.

OCTOBER 30 2015

MaRS AUDITORIUM TORONTO

TECHNA2015S Y M P O S I U M

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TECHNA 2015 THE BIG MACHINE: HEALTHCARE BUILT TO LEARN symposium.technainstitute.com

David Jaffray PhD ABMP, UHNExecutive Vice President, Technology & Innovation,Director, Techna Institute,Head, Radiation Physics, Princess Margaret Cancer Centre

The advancement of more personalized treatment options depends upon access to the full spectrum of bio-clinical data. A unique challenge exists in terms of extracting useful information out of the vast and diverse data pool generated

within the field of healthcare. In today’s data-driven world, conventional data sharing and collaboration methods are inefficient, error prone, and lossy. We believe that handling Big Data requires the Big Machine. Analysis and integration of the available wealth of healthcare data requires a robust platform to ensure data quality, consistent nomenclature, interoperability, and access for learning.

At Techna 2015, we explore the obstacles faced when building the Big Machine. Our distinguished panel of speakers will offer their expertise on the latest innovations in healthcare data in hopes of expanding our perspectives, and to motivate us all in our quest to develop creative data solutions.

Techna 2015 will undoubtedly be an exciting day of eye-opening insight and novel thinking.

We thank you for joining us!

8:00 - 8:45Breakfast and Registration

8:45 - 9:00Opening RemarksPeter Pisters MD MHCM CPE FACHE FACS, UHN

9:00 - 9:45Keynote speakerEvren Eryurek PhD MS, GE Healthcare

9:45 - 10:45Session 1: Data SourcesMODERATOR - Lydia Lee MBA CPHIMS-CA, UHNJennifer Stinson RN PhD, Hospital for Sick ChildrenHugo Aerts PhD, Harvard University

MD JD MBA MPH, NantHealthGary Palmer

10:45 - 11:00Break

11:00 - 12:00Session 2: FederationMODERATOR - Prateek Dwivedi MASc, UHNPeter Jones Microsoft CanadaFrancis Jeanson PhD, Ontario Brain InstituteJosh Gray MBA BA, athenahealth

MORNING

Visit symposium.technainstitute.com/speeches for speaker bios

AFTERNOON

1:00 - 2:00Session 3: Machine LearningMODERATOR - Igor Jurisica PhD, UHNAndre Dekker PhD, MAASTRO Clinic, Maastricht University Anna Goldenberg PhD, Hospital for Sick ChildrenRuss Greiner PhD MSc BSc, University of Alberta

2:00 - 2:15Break

2:15 - 3:00Debate: Big Data for Health: Boom or Bust? MODERATOR - Christian Veillette MD MSc FRCSC, UHNBenjamin Haibe-Kains PhD, UHNAndre Dekker PhD, MAASTRO Clinic, Maastricht University

3:00 - 3:25Post-Debate CommentaryShaf Keshavjee MD MSc FRCSC FACS, UHNPeter Rossos

3:25 - 3:30Closing RemarksDavid Jaffray

3:30 - 4:30

MD MSc FRC(C) FACP, UHN

12:00 - 1:00Lunch

PhD ABMP, UHN

Networking Session