Course description
In this introductory course, students gain a foundation in the theory and principles of health data classification. Students will learn to navigate the International Classification of Disease (ICD) and the Canadian Classification of Intervention (CCI) classification systems to assign disease and intervention codes.
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
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.
Learning outcomes
Upon successful completion of the course, students 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;
- Utilize International Classification of Diseases (ICD), Canadian Classification of Interventions (CCI), abstracting systems and electronic health records to complete the classification process; and
- Analyze the importance of data integrity.
Textbook materials
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.