MS in Health Informatics students will learn the following competencies in their concentration courses.
Health Data Analytics
- Select appropriate computational methods and visualization tools for solving data analytic problems in healthcare and public health.
- Query structured health data within database systems to preprocess data for data analysis.
- Apply machine learning methods to construct models for predicting patient outcomes at individual and population levels.
Health Informatics Management
- Use data and interoperability standards in healthcare project management.
- Manage health IT projects.
- Identify threats to security and privacy of health information systems.
Public Health Informatics
- Select appropriate computational methods for solving public health problems.
- Identify tools for public health data collection, disease identification, and control.
- Analyze population-wide data from consumer health devices.
Health Quality Analytics
- Query structured health data to extract and calculate quality measures.
- Use data and interoperability standards to integrate data for quality improvement.
- Apply statistical tools to extract and calculate quality measures.