GenAI for Advanced Health Services Research Coding Readiness
Project Overview
"The project will focus on integrating GenAI tools—such as Gemini and NotebookLM —into the Health Services Research coding curriculum (e.g., using Stata or R). This integration will move beyond basic use cases to explore intermediate and advanced AI methods that can improve how students handle complex, messy public health and administrative data. The project will:
Develop GenAI-Assisted Coding Modules: Create curriculum modules that train PhD students to use AI to generate, refine, and debug code for advanced data management needs and intermediate statistical models (e.g., survival analysis, difference-in-differences, machine learning classifiers) with high accuracy and precision.
Focus on Code Review and Optimization: Teach students how to use GenAI as a peer reviewer to critically assess the efficiency and robustness of their own code, improving computational performance in big data environments.
Establish Readiness for GenAI in Practice: Prepare students for the real-world HSR workforce by embedding GenAI tools as a standard part of their analytic toolkit, focusing on the responsible and efficient use of these tools for data cleaning and manipulation.
Consider the ethical implication of GenAI in Practice: Prepare students for using GenAI tools with a deep understanding of the moral and ethical implications of its use."