Winter Quarter – Academic Year 2025/2026 L107, Littlefield Center. Wednesdays 3:30pm - 6:20pm
| **Instructors
Course Manager** | Oliver Aalami, MD Carlos Guestrin, PhD Santiago Gutierrez Vishnu Ravi, MD Paul Schmiedmayer, PhD Aydin Zahedivash, MD, MBA
Meghana Nerurkar | | --- | --- | | Contact | [email protected] | | Units | 3-4 units | | Day/Time | Wednesdays 3:30 PM - 6:20 PM | | Location | L107, Littlefield Center
In person attendance is required! Zoom is offered as a backup for reasonable exceptions. | | Course Material | Canvas & course schedule below |
As our world becomes more and more digitized, patients and their devices are generating streams of valuable data that can provide meaningful clinical insights. This digital health revolution provides great opportunities to design and validate new digital health concepts. Many groups within Stanford Medicine have promising ideas that are ripe for development, however, they lack the software engineering and healthcare compliance know-how to take them forward.
Building for Digital Health is a Biodesign course sponsored by the Stanford School of Medicine (SoM) and Stanford’s Computer Science (CS) department. Its goal is to provide students with the opportunity to apply their skills to real-world digital health projects, while enabling academic and industry mentors to collaborate with these talented individuals to help bring ideas to reality. Both audiences will learn a repeatable approach for developing new digital health technologies and preparing to launch them in the market.
Over the course of ten weeks, students and mentors will work together to tackle a project and launch an app-enabled MVP solution. Every week, students will learn about digital health software development, HealthIT policy, hardware integration, interacting with wearables, health data privacy and security, and more. In the final week of class, teams will present their final project to a panel of digital health experts.
Projects will be announced during the first week of class.
Building for Digital Health in the Age of AI Coding
Welcome to CS342/MED253 - where we're pioneering the future of digital health development through vibe coding. This year marks a transformative shift: for the first time, you'll learn to prototype healthcare applications with the help of AI coding agents, dramatically accelerating the path from clinical need to working prototype.
The Vibe Coding Revolution
Digital health innovation shouldn't take months - it should take hours. Working alongside AI assistants like GitHub Copilot, Cursor, and Claude Code, you'll rapidly prototype cross-platform mobile applications that address real clinical needs. We're embracing a new paradigm where developers and AI agents work in concert, turning clinical insights into functional software at unprecedented speed. This isn't about replacing traditional software engineering - it's about amplifying your ability to innovate.