Lead: Kim McGrail
Data Science is an umbrella term for techniques used when trying to uncover insights and information from data.
It is the intersection of statistics, mathematics, computer design, and programming.
Health Informatics is the use of information and communication technologies in health care. It is also known as eHealth, digital health, or biomedical informatics.
It is the intersection of computer, library, cognitive, organizational, and health sciences.
Consulting with researchers, policy makers, and practitioners, this Cluster:
Consulting with researchers, policy makers, and practitioners, this Cluster:
Browse the priorities and projects below, or use the interactive diagram to the right.
Browse the priorities and projects below.
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This project tried to predict how people will use the health care system in Northern and Interior BC, using advanced data science methods and interRAI data.
Personal health records (PHR) are computer-based tools to keep a record of health information.
They are not yet widely used, and our understanding of their potential, their problems, and how to get the most value from them is limited. This project sought to find out more.
Clinical notes contain valuable data. But, they are difficult to use in large-scale analyses.
Could text mining software help with this, and help predict suicidality?
The COVID-19 pandemic has forced us all to adapt— including our care delivery and our research.
One of our projects pivoted from personal health records to electronic data sharing, virtual care, and patient empowerment.
In this webinar, Lindsay Burton and Mindy Smith discuss lessons from this project on post-pandemic sustainability of virtual care, and the need for flexibility in conducting meaningful and patient-centered research.
