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About Course
As the demand for data increases, institutions require effective processes and techniques for removing personal information. An important tool in this regard is deidentification. Healthcare data de-identification provides significant opportunities to bolster medical research and patient care, but the process is not without its pitfalls.
Course Objectives
Course content
Overviews of Mental Health Data Sourcing
Methods of Sourcing mental health data
Data search, selection and discovery
Introduction to De-identification
Process of de-identification of structured data
Data anonymization
Development of new data specification
Risks and challenges of de-identification
Methods of Sourcing mental health data
Data search, selection and discovery
Introduction to De-identification
Process of de-identification of structured data
Data anonymization
Development of new data specification
Risks and challenges of de-identification
Course Instructor(s)
Chifundo Kanjala
Course Objectives
Course content
Overviews of Mental Health Data Sourcing
Methods of Sourcing mental health data
Data search, selection and discovery
Introduction to De-identification
Process of de-identification of structured data
Data anonymization
Development of new data specification
Risks and challenges of de-identification
Methods of Sourcing mental health data
Data search, selection and discovery
Introduction to De-identification
Process of de-identification of structured data
Data anonymization
Development of new data specification
Risks and challenges of de-identification
Course Instructor(s)
Chifundo Kanjala