Health Research Data Analysis
Applies public health tools and techniques to analyse public health data, to recommend specific actions towards improving health outcomes and reducing health disparities.
Type
Domain
Competency Area
Health Research Practice
Levels
Describes uses of public health data
Describes the various uses of public health data in improving health outcomes and reducing health disparities
Demonstrates knowledge of public health tools and techniques for data analysis
Understands the intersections between public health and data science
Conducts preliminary data analysis
Identifies relevant and appropriate sources of public health data and information, including community resources
Conducts preliminary analyses on public health data using relevant tools and techniques
Documents best practices and evolving trends in public health and data science
Applies public health tools and techniques to data analysis
Determines the type and form of public health data that needs to be collected, stored, and retrieved in order to perform data analyses
Applies public health tools and techniques to investigate health outcomes, effectiveness of interventions, etc.
Incorporates data science into the analysis of public health issues (health informatics, big data and predictive analytics, etc.)
Analyses public health data for decision-making
Assesses the accuracy and importance of data for public health decision-making
Analyses information to determine appropriate implications, uses, gaps, and limitations in public health issues
Presents potential solutions for public health issues using relevant data science tools and techniques
Recommends actions using public health data
Recommends specific actions based on the analysis of public health data
Institutionalises evaluation and data to improve health systems, programs, and organisational performance
Advances the role of data science in public health systems through relevant forms (conferences, round tables, etc.)