Using Data Analytics to influence Health Outcomes
  • Introduction
    • Definitions & Acronyms
  • Analytic adoption
    • Opportunities and Enablers
    • Barriers and Obstacles to Data Analytics
    • Guiding Principles for Data Collection and Reporting
  • The Future of Data Analytics
    • Clinical Decision Support
    • Personalized Care
    • Public and Population Health
    • Clinical Operations
    • Policy, Financial and Administrative Decisions
  • Case Scenario
  • Conclusion
  • References

Data Analytics and Health Outcomes

Dori Pears
Alean Jackman
Colleen Gushue

MHST 602
Assignment 2
Group C Collaboration
November 5, 2014

Transforming Healthcare Through Informatics
Athabasca University
Instructor: Jack Yensen

This site will provide the class of MHST 602 with the necessary knowledge to understand:

1. The adoption of data analytics

·        the impact of data analytics in health care;
·        barriers and enablers to the successful use of data analytics; 
·        guiding principles to data collection

2. The future of data analytics in healthcare


·        in the clinical setting
·        in the administrative setting

 3. The role of data analytics – demonstrated via a case scenario






Please note that this website is for educational purposes, and was developed for an educational assignment.
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