Common Course Outline
Catalog Description
| Credits | 4 |
|---|---|
| Hours/Week | 140 |
| Prerequisites (Course discipline/number) | HIMC 2130 and HIMC 2135 |
| Other requirements | None |
| MnTC Goals (if any) | NA |
Course Description
This course provides clinical experience in all aspects of cancer registry organization and operation. Experience will include but not be limited to all facets of casefinding, coding and abstracting of cancer data, data collection, follow-up processes, and quality assurance activities. Practicum activities can be completed in three ways: on-site, virtual or hybrid (in-person and virtual components). Practicum activities will focus on developing skills in the five core competencies of major content areas. Upon completion, students should be able to apply cancer information management theory to cancer registry practices and standards. Students have the status of learner and shall not be considered agency employees, nor do they replace employed staff. Clinical practice is conducted as a non-paid laboratory experience under the direct supervision of an oncology data specialist.
Date Last Revised (Month, year)
December, 2023
Outline of Major Content Areas
- Casefinding
- Abstracting, Coding and Staging
- Analysis and Data usage
- Registry Organization, Follow up and Data Quality Assurance
- Cancer Program Accreditation
Learning Outcomes (General)
The student will be able to:
- Exhibit cancer registry organization and management knowledge as well as display legal and ethical standards
- Application of principles of abstracting and registry standards for cancer registries.
- Practice cancer disease coding and staging, evaluating extent of disease and methods for sequencing cases while maintaining a high degree of accuracy.
- Application of oncology coding including topography and morphology, and hematologic cancer. Apply knowledge of treatment modalities given for cancer patients.
- Utilize the content of source documents in abstracting medical records.
- Application of policies and procedures in providing follow-up data and applying data quality, data utilization, statistics and epidemiology, database management, gathering, manipulating, storing, retrieving, and classifying recorded information.
Learning Outcomes (MnTC)
NA
Methods for Evaluation of Student Learning
Methods may include but are not limited to:
- Clinical Evaluation
- Mentor Evaluation
- Assignments
- Hands-on-Learning
- Core Competencies Assessments
RCTC Core Outcome(s)
This course contributes to meeting the following RCTC Core Outcome(s):
- Personal and Professional Accountability
- Students will take responsibility as active learners for achieving their educational and personal goals.
Special Information (if any)
None