Introduction to Health Data Classification

Curriculum Guideline

Effective Date:
Course
Discontinued
Yes
Course Code
HIMP 1170
Descriptive
Introduction to Health Data Classification
Department
Health Information Management
Faculty
Health Sciences
Credits
3.50
Start Date
End Term
201930
PLAR
Yes
Semester Length
15
Max Class Size
Lecture - 30, Lecture/Practice - 15, Online - 20
Contact Hours
Lecture: 3 hrs. Lecture/Practice: 2 hrs.
Method(s) Of Instruction
Lecture
Lab
Hybrid
Learning Activities
  1. Lecture/Practice
  2. Group discussion
  3. Application exercises/case studies/health records
  4. Audiovisual aids
  5. Independent study of assigned topics
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 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
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.

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.

Corequisites
Which Prerequisite