4 hours/week
In this course, students engage in a variety of learning activities such as lectures, case study analysis, independent research, exercises, training on data classification technology, participant presentations, classroom discussions, and guest speakers.
- Principles of data governance and data integrity
- Attributes and models of quality health data
- Data collection tools and methodologies
- Collation of health data
- Presentation of health data
- Statistical analysis of health data
- Health data reporting, including health promotion, funding, management, education, and research
- Morbidity, mortality, quality, risk, and utilization statistics
Upon successful completion of the course, students will be able to:
- Articulate the importance of data governance and integrity, and the importance of related methodologies;
- Analyze health data statistics from a variety of sources, primarily the Canadian Institute of Health Information - Discharge Abstract Database;
- Create reports and presentations of statistical analysis;
- Evaluate all stages of the health information management lifecycle; and
- Demonstrate the roles and responsibilities of the health information management professional as they relate to data integrity, analysis and reporting.
Assessment will be based on course objectives andwill be carried out in accordance with the Douglas College Evaluation Policy. An evaluation schedule is presented at the beginning of the course.
This is a Letter graded course. All assignments must be completed to pass the course.
Textbooks and materials are to be purchased by students. A list of required textbooks and materials is provided for students at the beginning of the semester.
None