Data Science and Health Informatics (DaSHI) Methods Cluster

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.).

DaSHI_MC

Lead and Advisor

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Cluster Lead: Dr. Leanne Currie

 

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Advisor: Dr. Kim McGrail

 

DasSHI Group
Method Cluster Visioning Event, October, 2017

Project Themes: 

What are potential areas for methods development within data science and health informatics?

Data Science methods include:      Health Informatics methods include:
  • Machine learning
  • Mathematical modeling
  • New statistical methods
  • Temporal modelling
  • Data linkage
  • Information visualization and visual
    analytics
  • Information architecture
  • Natural language processing
  • Large database extraction (Big Data)
  • Social network analysis
  • Mining social media data
  • System design to ensure data reuse and information exchange
  • Personal health records, electronic health records, computerized clinical decision support, standardized languages
  • Methods to ensure privacy and security
    of health data
  • Data mining for public health surveillance
  • System design to ensure access hard-to-reach citizens (Digital Divide)
  • User-interface design methods
  • Application of Data Science methods at the point of care

 

 

 

Reports/Publications/Presentations:

In development.

 

Resources: 

Who to Contact:

KT Specialist: Alison Hoens