Health Informatics Research

Wesley Leong

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Technical Analyst, Health Informatics Research

Wesley Leong, BASc

Wesley joined the University Health Network in January 2013, working closely with Toronto Western Hospital’s Orthopaedics department. He graduated from the University of Waterloo in 2012, where he studied Electrical Engineering. He became affiliated with Techna in May 2013, where he will be assisting in software implementation and support. Wesley also brings software validation experience to Techna, which he will apply to the ongoing and future software applications.

Alex Zisman

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Technical Analyst, Health Informatics Research

Alex Zisman, BITM

Alex is a Technical Analyst for the Health Informatics Research (HIR) group. At HIR, Alex is responsible for the development of clinical technologies which assist health care professionals and researchers in the treatment of patients and the advancement of medical knowledge. Prior to joining HIR, Alex worked in the Department of Surgical Oncology for 4 years where he helped manage the eCancerCare Prostate database as well as software for treatment planning and guidance of ablative therapies for prostate cancer. Alex holds a Bachelor’s degree in Information Technology Management from Ryerson University.

Viet Tran

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Technical Analyst II, Health Informatics Research

Viet Tran, B.Sc

Graduated with B.Sc in Honours Computing and Computer Electronics from Wilfrid Laurier University.

Over 13 years of experience developing database driven websites/applications, working with a wide range of web technologies. At UHN, Viet has been involved in the design and implementation of several advance clinical documentation projects. Viet has extensive experience working with other hospital systems and setting up interfaces to integrate data.

In 2003, Viet was on of the top three winners in the Canada Cannes Young Creatives competition.

Chris Hamill

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Senior Technical Specialist, Health Informatics Research

Chris Hamill, B.ASc, P.Eng

Chris is a Senior Technical Specialist with the Health Informatics Research (HIR) group. He has over 15 years of software development experience in a wide array of languages and environments. With HIR, Chris develops clinical documentation applications to assist health care professionals in the treatment of their patients. This also provides data which researchers can use perform studies and further scientific knowledge.

Prior to joining UHN Chris worked in the Industrial Automation industry, designing and developing solutions to increase manufacturing efficiency via process improvement and data gathering and analysis.

Katherine Sue

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Associate Technical Analyst, HIR

Katherine Sue

Katherine is a Support Analyst for the Health Informatics Research (HIR) team at the Princess Margaret Cancer Centre (PMCC). Prior to this, Katherine spent 5 years working as a Research Assistant with the Gynecologic Oncology department at the PMCC where she managed the eCancerCare Ovarian database and provided user support.

Since June 2008, Katherine has been involved in the development, implementation and support of several synoptic operative reports at the University Health Network as part of the Canadian Partnership Against Cancer’s synoptic surgery reporting initiative.

Yuliya Gavrylyuk

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Senior Analyst, HIR

Yuliya Gavrylyuk, IMG, MHA

Yuliya is a Sr. Analyst of the Health Informatics Research (HIR) team, Princess Margaret Cancer Center. In the past 4 years Yuliya has worked closely with the UHN clinicians and researchers providing high quality technical and users support solutions on eCancerCare system, a disease-specific point-of-care tool that manages clinical data for medical and research purposes.

As a member of the Health Informatics Research team, Yuliya has been part of the coordination, development, implementation and support of many advanced and sustainable IT systems, including eCancerCare Suite, Distress Assessment and Report Tool (DART), Cancer Survivorship Care Plan (SCP), and TNM Validation e-survey for Ophthalmic Tumors.

Yuliya is an international medical graduate (IMG) and has a Master of Health Administration from Cornell University, USA.

Justin Liu

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Architect, HIR

Justin Liu, BASc

Justin Liu is a Technical Architect for the Health Informatics Research (HIR) department at the Princess Margaret Cancer Centre. He has been at UHN since 2004 designing, implementing and supporting technologies that meet the highly specific needs of collecting clinical data in a medical setting. He has worked throughout the various stages of the design and delivery process and has implemented many tools and processes to guide the collaboration with clinical and technical staff. He is involved heavily in the design of a standardized clinical data model that facilitates the diverse data requirements of differing specialties and diseases. He is known for his work with SNOMED CT, an international clinical terminology standard and has spoken at various national and international conferences on the subject.

Justin has a BASc in Systems Design Engineering from the University of Waterloo and is seriously addicted to ice hockey.

Tran Truong

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Project Director

Tran Truong, MHSc, B.Math

Tran Truong is the Project Director for Electronic Data Capture Solutions at the Techna Institute. She received her bachelors in Mathematics from the University of Waterloo with a specialization in Computer Science and has completed her Masters in Health Sciences in Translational Research at the University of Toronto.

She has worked at UHN for over 20 years, in close collaboration with clinician scientists to develop innovative IT solutions to improve the quality of complex care and enable clinical research. She has extensive experience leading IT teams to develop, deploy and support many local, national and international IT initiatives. Tran’s area of focus is on the design and development of point-of-care tools to support clinical research, which include electronic clinical documentation, data workflow and integration, data modelling and health ontologies, patient reported outcome systems, virtual care models and applied machine learning technologies.

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