1. Lecture/Practice
2. Application exercises/case studies/health records
3. Technology (software, Internet, etc.)
4. Guest Lecturer
5. Independent study of courseware
- ICD-10-CAC/CCI Classification System
- advanced classification practice (focused and general) according to current standards of accuracy, consistency, and productivity
- continue to integrate knowledge of biomedical sciences, pathophysiology, medical terminology, pharmacology, and documentation to coding
- review of special coding problem areas
- assess impact of coding on case mix, resource intensity, complexity and chronicity.
- Encoder Software
- use software
- compare coding accuracy using an encoder to Folio
- Other Classification/Nomenclature/Terminology Systems
- differentiate between classifications, nomenclatures, and terminologies
- describe the purpose and significant characteristics of other classification/nomenclature systems (e.g. SNOP, ICD-9, ICD-9-CM, ICD-0, DSM)
- practice coding diagnostic/intervention statements using other classifications and nomenclatures
- Case Mix Systems
- Case Mix Groups
- Day Procedure Groups
- Resource Intensity Weights
- ELOS
- Interpretation of related data
- Other
In this course, participants have opportunities to:
- interpret data and assess data utilization and quality relating to case mix, resource intensity, complexity and chronicity
- demonstrate understanding of grouping methodologies across the care continuum
- describe the significant features, purposes, and application of classifications, nomenclatures, and terminologies
- demonstrate an understanding of the evolutionary changes in data collection
- demonstrate a thorough knowledge of data classification for all major clinical categories using the ICD-10-CA and CCI classification systems
- apply critical thinking skills including documentation interpretation to the coding process
- apply national, provincial and local standards for data collection
- continue using both a manual and computerized abstracting system to collect data
- continue to maintain an appreciation for the importance of data integrity
Typical evaluations would include:
- Final Exam
- Midterm Exam
- Reflective Learning Journals
- Assignments
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. A minimum pass grade of 75% is required in the lecture-practice component and a minimum pass grade of 65% in the lecture component of this 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 each course.
HIMP 2370 or upon meeting direct entry requirements