Lecture: 4 hours/week
Lab: 1.5 hours/week
Practicum: 4 hours/week
In this course, students engage in a variety of learning activities such as lectures, case study analysis, independent research, exercises, training on data classification technology, participant presentations, classroom discussions and guest speakers.
- The essentials of data classification including coding processes, principles, structure and guidelines pertaining to ICD and CCI
- The information and processes relevant to specified Major Clinical Categories
- The application of the coding process and guidelines to assign appropriate diagnosis and intervention codes to major clinical categories
- Application of case mix and resource intensity weight methodologies
At the end of the course, the successful student 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, data abstracting systems and electronic health records to complete the classification process;
- discover the importance of data integrity;
- apply case mix and resource intensity weight methodologies.
The course evaluation is consistent with the ÌÇÐÄvlog´«Ã½Evaluation 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.
A list of required and optional textbooks, materials and electronic applications is provided for students at the beginning of each semester.
Students in the BScHIM program are required to maintain a passing grade of 65% (C+) in all courses in order to progress in the program.