Aggie Square • 3/27 • 8:00–5:00

Hack the problems doctors wish they could fix.

Clinicians pitch workflow problems. Students build prototypes. One day to hack, test, and demo something that could actually work.

query: "what breaks in your workflow?"
form teams → prototype → demo
When
Thu, 3/27 • 8:00–5:00
Where
Aggie Square
Hosted by
UC Davis School of Medicine: MedXEngineering Student Interest Group

Why this hackathon exists

Health hackathons often miss the mark—impressive demos that don't address actual clinical needs. We're fixing that by pairing people who know the problems with people who can code.

Clinicians bring problems

Issues from daily practice: workflows that don't work, data that doesn't integrate, repetitive tasks.

Students build prototypes

Software, hardware, and design skills to test if a solution can actually work within clinical constraints.

Good ideas need both

Technical skill builds the solution. Domain knowledge ensures it solves the right problem.

Goal

Build prototypes that address real clinical problems.

Schedule

8:00
Check-in
Coffee and team formation.
9:00
Problem pitches
Clinicians present real workflow issues. Teams form around specific problems.
10:00
Build
Prototype and test. Fail quickly.
12:30
Midpoint check
Does it work? Is it safe? Can you actually demo it?
3:30
Finalize
Make it work well enough to show. Prepare to explain what you learned.
4:30
Demos
Show what works, what doesn't, and whether it solves the problem.
Workshops

AI coding basics for med students. Clinical data formats for engineers. Both optional.

Who should come

Med students, clinicians, and anyone who can code or build hardware.

Clinicians & med students

  • Pitch problems from daily practice
  • Keep projects grounded in reality
  • Flag safety and workflow issues early

Med students: you can build and provide domain knowledge.

Technical students

  • CS, engineering, design, hardware—any technical background
  • Build prototypes that work within clinical constraints
  • Learn to work with real medical data and workflows

Good solutions require understanding the actual problem.