I design AI products for healthcare, from the tools clinicians rely on to the experiences patients feel.
At Eleos Health, I design AI products for behavioral healthcare -- tools clinicians use at the moment of care, and systems that connect clinical quality to patient outcomes. The core challenge is always the same: ensuring the system is understandable, trustworthy, and usable by real people with real stakes.
Currently at Eleos. Open to senior roles in consumer health and founding-team product opportunities.
Live Quality Assist
The central design problem wasn't the UI. It was timing. Compliance review happened months after submission, when nothing could be fixed. I designed LQA to move that check into the moment of writing: nudges over blocks, factor-level reasoning over scores. When clinicians get the right feedback at the right moment, documentation improves -- and so does the care patients receive.
Better documentation at the moment of care, not weeks after the fact
Spent
A consumer finance app that connects spending patterns to the context of your life. Money is personal, and the AI explanations are too: not just what you spent, but why it might have happened, and what you might want to do about it.
Consumer AI that earns trust by explaining your life back to you, not just your data
Embedded Audio
Invisible when it works, impossible to miss when it doesn't. I designed the recording flow and five distinct error states for a context where a silent failure means a clinician finishes a session without documentation and a patient's progress goes unrecorded.
Became one of the most-used features in the company at launch
Coding Back Office
Providers undercode not from carelessness, but because documentation complexity makes the right code genuinely hard to know. The design challenge: surface AI-suggested codes with enough reasoning to be trusted, and enough transparency to survive an audit.
Surfaces coding gaps hidden in existing billing data
Design Approach
Models can be remarkably capable. The failure point is almost always the interface, how output is presented, verified, and acted on by people with real stakes.
I've spent my career designing the experience of AI -- not just screens, but the feedback loops, confidence cues, and review flows that determine whether someone trusts a system enough to use it. That principle holds whether the person using the system is a clinician, or a patient managing their own care.
What I find most interesting isn't the model. It's the moment a person decides whether to act on what it says -- whether that person is a clinician reviewing a patient note or someone looking at their finances on a Sunday morning. That's where the real design problem lives.
Get in touch
I'm interested in teams building meaningful products at the intersection of healthcare and human experience, and who want a designer who thinks beyond the screen.
carlyraizon@gmail.com