Course

Introduction to Health Data Classification

Important Notice

This course is not active. Please contact Department Chair for more information.

Faculty
Health Sciences
Department
Health Information Management
Course code
HIMP 1170
Credits
3.50
Semester length
15
Max class size
Lecture - 30, Lecture/Practice - 15, Online - 20
Method(s) of instruction
Lecture
Lab
Hybrid
Typically offered
To be determined

Overview

Course description
This introductory course focuses on developing a foundation in disease and procedure classification, medical terminology, and pathophysiology for application in data collection and classification. The course includes an introduction to medical terminology, etiology of disease, an overview of interventions, and the fundamentals of
ICD-10-CA and CCI classification systems.
Course content
  1. Medical Terminology
    • structure of medical terms
    • abbreviations & symbols
    • acronyms
    • read, pronounce, and interpret medical terms from health care documentation
  2. Pathophysiology
    • introduction
    • inflammation and healing
    • degeneration
    • abnormal immune response
    • infection
    • neoplasia
    • metabolic derangement/nutritional disorders
    • congenital and genetic/prenatal impact
    • trauma and mechanical/chemical
    • mental and emotional
    • idiopathic
    • iatrogenic including medication errors
    • overview of interventions
  3. Data Classification
    • overview of the coding process
    • purposes of coding
    • disease/diagnosis classification
    • organization & structure of ICD-10-CA
    • basic principles, standards, and guidelines
      • intervention classification
      • organization & structure of CCI
      • basic principles, standards,  and guidelines
    • diagnoses typing
    • diagnosis and intervention code sequencing
    • the coding process in detail
    • understanding and applying health care documentation to the coding process
Learning activities
  1. Lecture/Practice
  2. Group discussion
  3. Application exercises/case studies/health records
  4. Audiovisual aids
  5. Independent study of assigned topics
Means of assessment

Typical evaluations would include:

  •        Final Exam
  •        Midterm Exam
  •        Weekly Quizzes
  •        Medical Documentation Assignments

 

Course evaluation is based on course learning outcomes and is consistent with Douglas College Curriculum & Development Policy.

 

A detailed evaluation schedule is presented to the students at the beginning of the course.  Outline of evaluation may be subject to change.

 

This is a graded course.

Learning outcomes

In this course students will have opportunity to:

  • develop knowledge in the etiology of diseases which will lay the foundation for further study in pathophysiology required for professional practice in health information data collection
  • develop the ability to read, interpret, and understand health care documentation
  • develop research skills by using electronic references and resources
  • learn to navigate ICD-10-CA and CCI for health care data classification
  • develop an appreciation for the importance of data integrity, data accuracy, and consistency
Textbook materials

Textbooks and Materials to be Purchased by Students

 

A list of mandatory and optional textbooks and materials is provided for students at the beginning of each semester.

Requisites

Prerequisites

No prerequisite courses.

Corequisites

HIMP 1120 & BIOL 1103

Equivalencies

No equivalent courses.

Course Guidelines

Course Guidelines for previous years are viewable by selecting the version desired. If you took this course and do not see a listing for the starting semester / year of the course, consider the previous version as the applicable version.

(Current)

Course Transfers

These are for current course guidelines only. For a full list of archived courses please see https://www.bctransferguide.ca

Institution Transfer details for HIMP 1170
There are no applicable transfer credits for this course.

Course Offerings

Winter 2025