Data Analytics and Decision Support for Health Informatics
This course is designed to familiarize students with the different types of healthcare data, assure the quality of the data and how to understand and communicate the information provided in support of effective decision making by the various stakeholders of the healthcare system. Study and discussion topics will include how to choose the correct information for different decisions and communicate its meaning to users. Students will evaluate statistical methods and tools. The difference between research databases and operational databases will be covered along with techniques to effectively communicate quantitative healthcare data using tables and graphs. Methods for choosing the right medium will be explored in depth.
At the end of this course, students will be able to:
Identify different types of administrative and clinical data and their uses in decision support.
Describe similarities and differences in healthcare information stored in Electronic Medical Records vs. relational databases.
Describe the elements of high quality reliable data.
Develop analyses and reports designed to communicate trends and recommend actionable next steps.
Evaluate ways to report and graphically display data.
Identify and use various statistical methods and tools for the analysis of data.