Heath Data Collection & Classification III
Curriculum guideline
1. Lecture/Practice
2. Group discussion
3. Application exercise/case studies/health records
4. Technology (software, audiovisual, Internet, etc.)
5. Guest lecturer
6. Independent study of courseware and specific topics
For a given disease/disorder within a major clinical category:
- define the terminology and abbreviations
- describe:
- predisposing and risk factors (demographics)
- etiology
- signs and symptoms
- method of diagnosis
- common comorbidities (including complications)
- typical and alternate interventions (diagnostic, medical including pharmaceutical agents, surgical)
- likely mode of encounter with the health care delivery system
- classify to ICD-10-CA and CCI
- assign patient service category
- diseases and disorders of the kidney and urinary tract
- diseases and disorders of the male reproductive system
- diseases and disorders of the female reproductive system
- endocrine, nutritional and metabolic diseases and disorders
- diseases and disorders of the nervous system
- mental diseases and disorders
- injury, poisoning and toxic effects of drugsother reasons for hospitalization
- burns
- significant trauma
- complications of medical care
- pregnancy, childbirth and the puerperium
- newborns and other neonates
In this course participants have opportunities to:
- develop skills in data classification by applying knowledge of the pathophysiology for specified major clinical categories using the ICD-10-CA and CCI classification systems
- understand and predict the course of specified pathophysiological conditions in terms of demographics, etiology, signs and symptoms, method of diagnosis, common comorbidities, typical and alternate
- interventions (diagnostic, medical including pharmaceutical agents, surgical) and likely mode of encounter with the health care delivery system
- apply critical thinking skills including documentation interpretation to the coding process
- apply national, provincial and local standards for data collection
- apply patient service classification system
- apply research skills to independent study of disease pathophysiology and classification
- continue using both a manual and computerized abstracting system to collect data
- continue to develop an appreciation for the importance of data integrity
Typical evaluations would include:
- Final Exam
- Midterm Exam
- Quizzes
- Reflective Journals
Course evaluation is based on course objectives and is consistent with Douglas College Curriculum Development and Approval 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.
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 the course
HIMP 1270 or meeting direct entry requirements