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Scaling Medication Safety and Enriching Data Interoperability Across McGill University Health Centre
This project aims to develop machine learning tools that automatically translate and standardize hospital medication data into internationally recognized formats. Today, much of this mapping work is manual, time-consuming, and prone to inconsistencies. The intern will build and evaluate AI models that improve how medication records are matched to standardized drug vocabularies and flagged for potential errors. For NURA Medical, this will reduce pharmacist review time, improve data accuracy, and strengthen the company’s ability to deploy scalable, AI-assisted medication safety and interoperability solutions across hospital partners.
Faculty Supervisor:
Maryam Daryalal
Student:
Partner:
NURA Medical
Discipline:
Computer science
Sector:
Health and Related Sciences & Technology; Manufacturing; Professional, scientific and technical services
University:
HEC Montréal
Program:
Business Strategy Internship
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Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.