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Research projects involving graduate students and postdoctoral fellows conducted under the auspices of Telfer Health Transformation Exchange.

 

Project title: Predicting post-operative complications of the patients having spine surgery

Description: This research uses AI and Machine Learning methods to assess complication risks for different classes of patients

Participants: S. Kingwell (The Ottawa Hospital), E. Parimbelli (uOttawa), W. Michalowski (uOttawa)

 

Project title: Predicting chances of in-hospital death for the patients assessed by the rapid response team

Description: This research uses Data Mining and Machine Learning methods to assess chances of a death during hospital stay of the patients who were evaluated by the ICU rapid response team

Participants: K. Kyeremanteng (The Ottawa Hospital), P. Reardon (The Ottawa Hospital), E. Parimbelli (uOttawa), W. Michalowski (uOttawa)

 

Project title: Developing schedules and itineraries for the nurses in home dialysis program

Description: This research uses data analytics methods to create daily itineraries for the nurses visiting home dialysis patients

Participants: J. Graham (The Ottawa Hospital), B. McCormick (The Ottawa Hospital), A. Saure (uOttawa), A. Kandakoglu (uOttawa), W. Michalowski (uOttawa)

 

Project title: Assessing “Choosing Wisely” educational initiative to reduce low-acuity pediatric ED visits

Description: This research uses qualitative analysis methods to identify barriers and enablers of physicians’-led educational initiatives

Participants: K. Farion (Children Hospital of Eastern Ontario), G. Huyer (uOttawa), S. Chreim (uOttawa), W. Michalowski (uOttawa)

 

Project title: Developing computer model capturing dynamics and interactions among members of an interdisciplinary healthcare team

Description: This research uses first order logic and AI methods to model behaviour of a team and to integrate this behaviour with workflow execution engines

Participants: M. Fung Kee Fung (The Ottawa Hospital), P. Andreev (uOttawa), E. Parimbelli (uOttawa), W. Michalowski (uOttawa)

 

Project title: Developing conceptual framework for the Learning Health System

Description: This research creates novel framework that guides design and implementation of a learning system in healthcare organization

Participants: M. Fung Kee Fung (The Ottawa Hospital), L. Lessard (uOttawa), A. Grudniewicz (uOttawa), W. Michalowski (uOttawa), L. Jones (uOttawa)

 

Project title: Forecasting need for implants to meet demand of spine surgeries

Description: This research uses data analytics and forecasting methods to predict need for the implants by type, surgical complexity, and volume

Participants: E. Wai (The Ottawa Hospital), A. Saure (uOttawa), A. Kandakoglu (uOttawa), W. Michalowski (uOttawa)

 

Project title: Patient navigation application for lung cancer assessment patients

Description: This research develops mobile application to be used by lung cancer patients who undergo assessments and clinical evaluations

Participants: M. Fung Kee Fung (The Ottawa Hospital), J. Smylie (The Ottawa Hospital), S. Shin (The Ottawa Hospital), S. Chandhoke (uOttawa), A. Grewal (uOttawa), V. Pathak (uOttawa), S. Singh (uOttawa), K. Ziabari (uOttawa), D. Amyot (uOttawa), W. Michalowski (uOttawa), H. Mouftah (uOttawa)

 

Project title: Identifying risk of post-surgical complications among the patients with endometrial cancer who underwent hysterectomy

Description: This research uses predictive analytics methods to develop redictive model that establishes postoperative risk of hysterectomy patients

Participants: M. Fung Kee Fung (The Ottawa Hospital), B. Alimohammadi (uOttawa), P. Andreev (uOttawa), W. Michalowski (uOttawa)

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