Choosing Wisely Manitoba featured in WAVE Magazine
2019.02.19 - 11am to 11am
Check out WAVE Magazine's feature on Choosing Wisely Manitoba for Jan/Feb 2019
VADA Program Featured in UM Today
The Visual and Automated Disease Analytics (VADA) Program recently marked the graduation of its first master's students. Rayhan Shikder is among the first students to complete the VADA Program including an internship at the iFLYTEK Laboratory for Neural Computing for Machine Learning in Toronto. You can read more about Rayhan's experience with VADA on UM Today: http://news.umanitoba.ca/vada-program-offers-valuable-skills-in-disease-prevention/
University of Manitoba partners with Deer Lodge Centre Foundation to improve fall-risk assessment tools
A research collaboration between the University of Manitoba and Deer Lodge Centre aims to improve the tools therapists use to assess falls risk. Dr. Kathryn Sibley, Director of CHI's Knowledge Translation platform and assistant professor in the U of M's department of Community Health Sciences, will lead the project to assess an existing tool called the Mini BESTTest. In January, Sibley and her team will start training physiotherapists at Deer Lodge Centre to conduct the project, which is funded in part by a grant from the Deer Lodge Centre Foundation. You can read more about this exciting project here: https://www.deerlodgecentrefoundation.com/a-delicate-balance/
Dr. Lisa Lix Named Canada Research Chair
Dr. Lisa Lix, Director of CHI's Data Science platform, has been named Canada Research Chair in Methods for Electronic Health Data Quality. Dr. Lix is one of 10 Canada Research Chairs named at the University of Manitoba, and her research will focus on developing methods enhance and evaluate the quality of electronic health databases.
Indigenous Master’s Excellence Award
Congratulations to Data Science's Stephanie Monkman who has received the University of Manitoba’s Indigenous Master’s Excellence Award. This award is given to Canadian Indigenous graduate students enrolled full-time in a Master’s program at the University of Manitoba. Awards are offered to meritorious graduate students who demonstrate significant research ability and scholarly potential.
Ed Kroeger Mentorship Award
Congratulations to Dr. Lisa Lix, Director of the Data Science Platform at the Centre for Healthcare Innovation for receiving the Ed Kroeger Mentorship Award for 2018. This award is provided by the Health Sciences Graduate Students’ Association at the University of Manitoba, to recognize excellence and distinction in mentorship, teaching, and research.
Interstellar Initiative Award
Congratulations to Dr. Pingzhao Hu of the CHI Data Science team, who was selected for the 2018 Interstellar Initiative. This is a joint program between the New York Academy of Sciences and the Japan Agency for Medical Research and Development, which recognizes “the world's most promising Early Career Investigators in the fields of cancer, neuroscience and artificial intelligence."
Closing A Critical HIV Prevention Gap
Demonstrating safety and effective delivery of daily oral pre-exposure prophylaxis (PrEP) as part of an HIV combination preventive intervention for sex workers in Kolkata and Mysore-Mandya, India
First efforts to optimize nursing see success
Long-time staff member Sharon Rempel looks after a patient in Stonewall. Reduced overtime for staff was among the goals achieved by the IERHA pilot project to deliver a LEAN approach to quality improvement.
Examining the Implementation of Preoperative Diagnostic Testing Guidelines in Manitoba
In Manitoba, as in other jurisdictions, audits have shown that many patients continue to receive unnecessary preoperative testing despite the existence of a province-wide guideline. In 2015, we undertook a multi-year project to design and implement knowledge translation strategies that we hypothesized would reduce unnecessary preoperative testing.
George & Fay Yee Centre for Healthcare Innovation and WRHA release interim evaluation of Healing our Health System plan
The Winnipeg Regional Health Authority (WRHA) released an interim evaluation of the first three months of the region's phase one of clinical consolidation.
Bioinformatics-Biostatistics Journal Club
2019.02.28 - 3pm to 4pm
The Bioinformatics-Biostatistics Journal Club (BBJC) is hosted by the Data Science platform at the George & Fay Yee Centre for Healthcare Innovation. The BBJC aims to stimulate discussion of bioinformatical and statistical methods development and applications for complex health data in translation and personalized medicine. All students, faculty, and staff are welcome to join this monthly event.
Introduction to Systematic Reviews and Meta-Analysis
2019.02.25 - 2019.02.27
This course will introduce participants to systematic reviews and meta-analysis. Registration closes February 18th, 2019.
Bioinformatics/Biostatistics Edge of Science and Medicine Presentation
2019.03.04 - 12pm to 1pm
The Rady Faculty of Health Sciences Edge of Science and Medicine Visiting Speaker Series presents "Two stories of genes, environment and penalization" on Monday, March 4th, 2019.
Using R for Basic Stats
2019.02.25 - 2019.03.06
This hands-on workshop will get you ready to do basic statistical analyses in R. Previous introductory experience with R (e.g, our “R for Absolute Beginners”) will be assumed. We will discuss: odds ratios, correlations, t-tests, chi-squared tests, and linear and logistic regression.
How to Develop Guidelines Using GRADE
2019.02.19 - 2019.02.22
February 19 - 22, 2019 • 9am - 4pm • Four day workshop that takes participants through the whole process of making recommendations in guidelines.
Multi-Level Models for Hierarchical Data with R
2019.03.11 - 2019.03.13
Multilevel models are extensions of regression for data that have a hierarchical (or nested) structure. This two half-day workshop provides an intensive introduction to multilevel models. The workshop will focus on hands-on understanding and draw from examples across the social and health sciences.
REDCap Overview & Demonstration for PIs and Study Coordinators
REDCap (Research Electronic Data Capture) is a web-based program designed to support data capture for research studies. This session highlights key features of REDCap and describes the local implementation and guidelines for access*. At least one research team member should attend this introductory seminar before implementing a project on the UM REDCap Production or Surveys Server or before taking more advanced REDCap training sessions.