- International Fees
International fees are typically three times the amount of domestic fees. Exact cost will be calculated upon completion of registration.
This course introduces learners to regulations, laws, organizations, and best practice related to portability, data access and sharing agreements, data use, and the application of the fundamental concepts of data and data management used in health informatics. Learners examine policies and procedures for data sharing across systems (e.g., health information exchanges, public health reporting). The course discusses strategies for ensuring provenance and integrity of individual and population health information sourced across multiple integrated systems, and the role and importance of data stewardship. The course emphasizes the importance of data integrity and data quality associated with all aspects of care delivery and services related to workflow design and best practice. Learners compare and contrast patient-generated health and clinical-setting data and discuss the various types of specialized and emerging data sources. The course discusses precision medicine (i.e., customized treatment plans based on patient-specific data) and genomic and proteomic data use in clinical care (bioinformatics). Learners examine the differences between structured and unstructured data and explore the use of natural language processing in analyzing clinical narratives in the electronic health record. Case studies provide opportunities to learn about, compare, and apply descriptive and inferential statistics, common descriptive measures, and frequently employed inferential statistical tests.
- 65% in DIGH 7000
Below is one offering of DIGH 7200 for the Winter 2024 term.
Wed Jan 03 - Fri Mar 22 (12 weeks)
- 12 weeks
- CRN 91580
- Domestic fees $925.57International fees are typically three times the amount of domestic fees.
Class meeting times
|Jan 03 - Mar 22||N/A||N/A||Online|
- Internet delivery format.
- Important course information will be sent to you prior to your course start date. Check your myBCIT email account to access this information.
- International fees are typically three times the amount of domestic fees. Exact cost will be calculated upon completion of registration.
Upon successful completion of this course, the student will be able to
- Identify key technical standards for data models, data messaging, and data transactions used within health systems.
- Describe basic database structure, data retrieval, and analytics techniques and tools.
- Appreciate the importance of data integrity and data quality associated with all aspects of care delivery and services.
- Describe differences between structured and unstructured data.
- Describe the use of natural language processing in analyzing clinical narrative in the electronic health record.
- Describe the field of precision medicine and the impact of genomic and proteomic data on clinical care.
- Describe the current landscape of health information technology legislation supporting and promoting data sharing.
- Describe strategies for tracking data provenance and ensuring shared data is authentic, trustworthy, and reliable once exchanged.
- Explain the importance of data stewardship and the roles and responsibilities of data stewards.
- Define common descriptive measures and frequently employed inferential statistical tests.
- Compare uses of descriptive and inferential statistics, common descriptive measures, and inferential statistical tests.
- Apply common descriptive measures and inferential statistical tests to digital health case studies.
Effective as of Spring/Summer 2023
Data Fundamentals (DIGH 7200) is offered as a part of the following programs:
School of Health Sciences
- Digital Health
Advanced Certificate Part-time
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Programs and courses are subject to change without notice.