CRES 830 Health and Bioinformatics

Population health data is readily available through private and public agencies. This course will discuss quantitative and statistical methods required to organize and analyze this data in an attempt answer meaningful empirical questions around population health from a cost, quality, and access perspective. Students will have an opportunity to interact with data agencies such as the Center for Disease Control (CDC), Center for Medicare and Medicaid Services (CMS) and the Agency for Healthcare Research and Quality (AHRQ) to answer specific population health questions.

Credits

3

Student Learning Outcomes

1. 1. Define the role of biostatistics in health policy and public health.
2. 2. Identify the similarities and differences between health informatics and bioinformatics and identify the different and appropriate statistical strategies available for the analysis of each.
3. 3. Estimate the potential impacts of health policy through quantitative research and statistical analysis.
4. 4. Summarize the challenges to analysis of demographic data at a national level.
5. 5. Appropriately address missing data in large publicly accessible datasets.
6. 6. Formulate and implement a health policy agenda at the community, city, state, profession, or national level.
7. 7. Identify various types of data available for analysis from US Government agencies and payers.