Healthcare Data Management & Clinical Informatics

4.0 credits

This course will explore the variety of clinical data collected during the delivery of healthcare. Explore the types and sources of healthcare data, along with methods for selecting, preparing, querying, and transforming healthcare data. You will learn to construct analysis-ready datasets and apply computational procedures to answer clinical questions. In addition, you will learn the basics of SQL programming or improve your SQL skills, within the concepts of other course topics. You will learn to perform exploratory analysis on the curated datasets to compute the descriptive statistics and present the data as visualizations and dashboards. You will be introduced to the transaction standards, vocabulary, terminologies, and nomenclatures, data taxonomies and ontologies used in healthcare. You will learn best practices to address challenges commonly experienced with real-world healthcare data including missingness, heterogeneity in data collection methods, and disparate independent data sources that need to be time-aligned in preparation for analysis.