Using Electronic Health Records to Predict Key Patient Health and Organizational Outcomes

One of the proposed benefits of adopting electronic health records is the development of a comprehensive database which can be used for epidemiological, clinical, and health services research. The main purpose of this project is to develop strategies and provide case examples of how data from these extensive electronic databases can be used to improve healthcare services outcomes. TELUS Health Solutions’ Oacis (i.e., Open Architecture Clinical Information System) has been in use in a large health care organization for approximately 15 years. A completely anonymized version of the database will be used to develop and test predictive models for key health services outcomes. We will present three case examples that will demonstrate how data derived from electronic health records can be used to identify gaps in quality of care and identify potential mechanisms to address these gaps.

Faculty Supervisor:

Dr. Diance Doran

Student:

Judith Godin

Partner:

TELUS Health

Discipline:

Nursing

Sector:

Information and communications technologies

University:

University of Toronto