Course description
In this course, students will deepen their understanding of the data classification process, with a continued focus on the theory and principles related to medical conditions and interventions. Building on foundational knowledge, they will apply Canadian Institute for Health Information (CIHI) Coding Standards, documentation protocols, and their expertise in medical terminology, anatomy, and pathophysiology. Additionally, students will explore how coded diagnostic and intervention data inform case mix grouping and resource intensity weight methodologies within the broader context of health system management.
Course content
- Patient service classifications
- Major Clinical Categories (MCC), including:
- Predisposing and risk factors
- Etiology
- Signs and symptoms
- Method of diagnosis
- Common complications and comorbidities
- Diagnostic and therapeutic interventions
- Canadian Coding Standards pertaining to:
- Diseases of the blood, blood forming organs and disorders involving the immune mechanism
- Mental and behavioural disorders
- Diseases of the nervous systems
- Diseases of the eye and adnexa
- Diseases of the ear and mastoid process
- Diseases of the digestive system
- Diseases of the genitourinary system
- Pregnancy, childbirth and the puerperium
- Conditions originating during the perinatal period
- Congenital malformations, deformations and chromosomal abnormalities
- Introductory pharmacology
- Case mix grouping (CMG+) methodology
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;
- Apply international and national coding and documentation standards;
- Navigate International Classification of Diseases (ICD), Canadian Classification of Interventions (CCI), abstracting systems and electronic health records to complete the classification process;
- Discuss the importance of data integrity; and
- Apply case mix grouping (CMG+) methodology.
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.