Clinical Classifications

Curriculum Guideline

Effective Date:
Course
Discontinued
No
Course Code
HIMP 2120
Descriptive
Clinical Classifications
Department
Health Information Management
Faculty
Health Sciences
Credits
6.00
Start Date
End Term
Not Specified
PLAR
No
Semester Length
15 Weeks
Max Class Size
35
Course Designation
None
Industry Designation
None
Contact Hours

Lecture: 4 hours/week
Lab: 1.5 hours/week
Practicum: 4 hours/week

or

Hybrid: 2 hours/week in class 
            2 hours/week online 
Lab: 1.5 hours/week
Practicum: 4 hours/week

 

Method(s) Of Instruction
Hybrid
Lecture
Lab
Practicum
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.  

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.
Course Content
  • The essentials of data classification including coding processes, principles, structure and guidelines pertaining to ICD and CCI.
  • The information and processes relevant to specified Major Clinical Categories.
  • The application of the coding process and guidelines to assign appropriate diagnosis and intervention codes to major clinical categories.
  • Application of case mix and resource intensity weight methodologies.
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.
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.

Textbook Materials

A list of required and optional textbooks, materials and electronic applications is provided for students at the beginning of each semester.

Prerequisites

Students in the BScHIM program are required to maintain a passing grade of 65% (C+) in all courses in order to progress in the program.

Corequisites