Course Description
Students will gain knowledge of and competency in the process of health data classification and its impact on quality health outcomes, management, planning and delivery of health services, research and education. The principles of data quality, the International Classification of Diseases (ICD) classification system from the World Health Organization (WHO) and contemporary coding standards within the Canadian health sector will be examined and applied.
Learning Activities
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.
Means of Assessment
The course evaluation is consistent with the Douglas College Evaluation Policy. An evaluation schedule is presented at the beginning of the course. This is a graded course. All assignments must be completed to pass the course.
Learning Outcomes
At the end of the course, the successful student will be able to:
- apply knowledge of medical terminology, anatomy and pathophysiology to determine etiology;
- analyze case studies to determine principle diagnoses, interventions, complications and comorbidities;
- assess and apply international and national coding and documentation standards;
- navigate ICD, CCI, data abstracting systems and electronic health records to complete the classification process;
- discover the importance of data integrity;
- apply case mix and resource intensity weight methodologies.
Textbook Materials
A list of required and optional textbooks, materials and electronic applications is provided for students at the beginning of each semester.