SDRDS

Tackling data science challenges in health and healthcare

From medical images to laboratory results, hospitalization summaries and disease registries, the medical sector generates huge amounts of data. However, their potential remain largely untapped, in part due to a shortage of qualified IT personnel at the interface of computer and biomedical sciences. The RHHDS program, funded by the Natural Sciences and Engineering Research Council of Canada, aims at training a new generation of specialists capable of responsibly exploiting these data. This workforce will develop, in addition to a strong technical background, professional skills in

  • Communication
  • Management
  • Knowledge and technology transfer
  • Ethics and law

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Featured project

This research project is based on the analysis of massive data on the NOL index and other intraoperative clinical parameters used by anesthesiologists during surgery. These parameters help them make analgesic treatment decisions in a non-communicating patient under general anesthesia and in whom it is impossible to assess pain and analgesic needs by standard questionnaires performed on awake patients. 
First, the objective is to interpret the values of this index in relation to the decisions made by the clinician. 

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