What is Data Science and Health Informatics?
Data Science is an umbrella term for techniques used when trying to extract insights and information from data. It is the intersection of: statistics, mathematics, computer design & programming, and involves problem-solving, capturing data in ingenious ways, cleansing, preparing, and aligning the data. Data science methods can relate both to structured and unstructured data.
Health Informatics is the use of information and communication technologies in health care (also known as: eHealth, digital health & biomedical informatics). It Is the intersection of computer science, library science, cognitive science, organizational science and health science (e.g. medicine, nursing, pharmacy etc.).
What are potential areas for methods development within data science and health informatics?
|Data Science methods include:||Health Informatics methods include:|
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Themes for Projects
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- Methods Cluster Update: November 24th, 2017:
- Methods Cluster Update: June 1, 2018:
Kimberlyn McGrail is Data Director for the BC Academic Health Sciences Network. She is also a Professor at UBC in the School of Population and Public Health and the Centre for Health Services and Policy Research, Scientific Director of Population Data BC, and the PI for the SPOR Canadian Data Platform. Her research interests are quantitative policy evaluation, aging and the use and cost of health care services, learning health systems and all aspects of population data science. She conducts research in partnership with clinicians, policy-makers and the public. Kim is a founding member of the International Population Data Linkage Network and founding Deputy Editor of the International Journal of Population Data Science. She was the 2009-10 Commonwealth Fund Harkness Associate in Health Care Policy and Practice, a 2016 recipient of the Cortlandt JG Mackenzie Prize for Excellence in Teaching, and 2017 recipient of a UBC award for Excellence in Clinical or Applied Research.
For more information about Kim McGrail, visit our webpage.