BIOMEDIN 225

In this class we will explore how to use electronic health records (EHRs) and other patient data in conjunction with recent advances in artificial intelligence (AI) and evolving business models to improve healthcare. Upon completing this course, you should be able to:

• differentiate between and give examples of categories of care questions that AI can help answer,
• describe common healthcare data sources and their relative advantages, limitations, and biases in enabling care transformation,
• understand the challenges in using various kinds of clinical data to create fair algorithmic interventions,
• design an analysis of a clinical dataset,
• evaluate and criticize published research to separate hype from reality.

Prerequisites: enrollment in the MCiM program. This course is designed to prepare you to pose and answer meaningful clinical questions using healthcare data as well as understand how AI can be brought into clinical use safely, ethically and cost-effectively.