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Flexible approaches for teaching computational genomics in a health information management program
Leming Zhou1, Valerie Watzlaf, Mervat Abdelhak
1Department of Health Information Management, University of Pittsburgh, Pittsburgh, PA, USA.
Perspectives in Health Information Management
|July 18, 2013
Summary
Health information management professionals need computational genomics skills to manage genetic data for personalized healthcare. This paper presents flexible teaching approaches for health information management programs.
Area of Science:
- Genomics
- Bioinformatics
- Health Information Management
Background:
- High-throughput biotechnologies provide vast genomic data.
- Genomic data is crucial for personalized healthcare and disease management.
- Health information management (HIM) professionals require expertise in handling genetic information.
Purpose of the Study:
- To describe flexible approaches for teaching computational genomics within HIM programs.
- To equip HIM professionals with necessary skills for processing genomic data.
- To guide other universities in adapting computational genomics education for HIM curricula.
Main Methods:
- Development of flexible curriculum modules for computational genomics.
- Integration of genomic data processing techniques into HIM education.
- Case studies and practical exercises tailored for HIM students.
Main Results:
- Demonstrated feasibility of incorporating computational genomics into HIM programs.
- Identified key competencies for HIM professionals in genomic data analysis.
- Provided adaptable teaching strategies for diverse academic settings.
Conclusions:
- HIM programs must integrate computational genomics to prepare professionals for personalized medicine.
- Flexible teaching approaches are effective for imparting essential genomic data skills.
- This curriculum framework supports the evolution of HIM in the genomic era.
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