Knowledge Translation & Health Informatics
Knowledge Translation & Health Informatics encompasses research in medication compliance and the development mathematical models to look at what the predictors are of noncompliance in patients who have co-morbid conditions. The team develops mathematical models to look at risk factors for both chronic and acute conditions. In the future these models will be used to help clinicians make decisions at the bedside about which patient factors are important to collect information on a more immediate basis.
The Health Informatics Knowledge Translation laboratory opened in 2008. This lab was set up to facilitate interdisciplinary research by providing a forum for students from different disciplines to work together to help develop methods to address issues related to health. Within this environment, students from computer science, software engineering, mathematics, medicine and other health disciplines can learn from each other while learning how to apply new techniques to address relevant health issues for both acute and chronic disease. The knowledge translation laboratory is the first of its type of facility within London and Southwestern Ontario that brings together core expertise in the area of software engineering, mathematics, imaging and information technology to create an infrastructure that can support important research initiatives.
Our lab develops mathematical models to look at risk factors for both chronic and acute conditions. In the future these models will be used to help clinicians make decisions at the bedside about which patient factors are important to collect information on a more immediate basis.
Within the realm of the ongoing bench-to-bedside research, Dr. Femida Gwadry-Sridhar with her colleague Dr. Michael Bauer and Mr. Benoit Lewden and Ms. Selam Mequanint have completed proof-of-concept work looking at risk factors associated with sepsis. Here the group has compared traditional mathematical modeling to novel methods to determine which approach provides precise estimates of risk in patients and will test these in randomized controlled trials. This type of research is relevant to the overall vision for Lawson as well as for the Schulich School of Medicine & Dentistry at Western that supports platform technologies and views informatics as an opportunity for emerging research and as a key area of growth and opportunity for researchers to participate in.
Our collaborations extend nationally and internationally and include local collaborators, such as Dr. Michael Borrie of the Geriatric Clincial Trials Group and others on large European initiatives (e.g. AddNeuroMed program) that utilize both clinical and imaging data to examine risks for cognitive decline.
Contact: Femida Gwadry-Sridhar
Telephone: 519.685.4292 ext 42690