Health Data Classification II

Curriculum Guideline

Effective Date:
Course
Discontinued
No
Course Code
HIMP 2210
Descriptive
Health Data Classification II
Department
Health Information Management
Faculty
Health Sciences
Credits
6.00
Start Date
End Term
202110
PLAR
No
Semester Length
15 weeks
Max Class Size
36
Contact Hours
Lecture 2 hours/week; Lab 1.5 hours/week; Practicum 6 hours per week
Method(s) Of Instruction
Lecture
Lab
Practicum
Hybrid
Learning Activities

Some or all of the following methods will be used:

  • lecture/discussion
  • case study analysis
  • group work
  • group discussions and exercises
  • independent research
  • quizzes
  • instructor feedback on students' work
  • individual consultation
  • presentation (individual or group)
Course Description
Students will continue to gain knowledge of the data classification process. Theory and principles about disorders and interventions will be discussed. Students will apply their knowledge of CIHI Canadian Coding Standards, documentation standards, as well as medical terminology, anatomy and pathophysiology. Students will continue to learn techniques that are involved with navigating ICD and CCI electronic coding software to assign disease and intervention codes. Students will be given the opportunity to apply diagnosis and intervention coded data to casemix and resource intensity weight methodologies inherent in health management.
Course Content

In this course the learner will explore:

  • Patient service classifications
  • Information and processes relevant to specified Major Clinical Categories including:
    • Predisposing and risk factors
    • Etiology
    • Signs and symptoms
    • Method of diagnosis
    • Common complications and comorbidities
    • Diagnostic and therapeutic interventions
  • Application of the coding process and guidelines to assign appropriate diagnosis and intervention codes to the following:
    • 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 to augment interpretation of case studies and selection of appropriate disease and intervention code(s)
  • Application of casemix and resource intensity weight methodologies
Learning Outcomes

At the end of the course, successful learners 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, abstracting systems and electronic health records to complete the classification process
  • Discover the importance of data integrity
  • Apply casemix 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.