$220k+
Pre-seed funding secured after acceptance into Techstars
Altrix
Role
UX Research Intern
Timeline
May – June 2025
Tools
Figma
Team
Jake Zur
Yashraj Patel
Rakshith Raja
Ihsaan Yasin
Nurses spend hours charting, that’s time taken directly from patient care.
Nurses chart patient information across fragmented moments throughout long shifts, often relying on memory after interruptions.
Accuracy and trust are critical because charting impacts compliance, billing, patient records, etc.
Existing workflows create heavy cognitive load and disrupt typical nursing routines.
At Altrix, I helped design an AI-assisted workflow that reduced documentation burden.
A typical workflow for nurses looks like this.
A better workflow shaped around real nursing routines.
The goal was simple: reduce cognitive load during documentation.
Through interviews with University of Michigan nurses, I explored how AI could support patient care workflows.
Three iterations, each shaped by nurse feedback.
I tested prototypes quickly and refined each iteration based on how nurses actually worked.
01. Passive transcription
Captured conversations during care and the AI would parse through the information.
Nurses reviewed generated summaries before anything was committed to the EHR.
NURSE FEEDBACK
“It helped with typing, but I still had to figure out what needed to be charted.”
“I was still relying on memory. The transcription didn’t help with that part.”
TAKEAWAYS
Typing wasn’t the core problem. Memory and recall were.
02. Conversational chatbot
I explored a guided conversational interface that prompted nurses through documentation step-by-step.
The assistant provided contextual awareness while keeping nurses in the loop.
NURSE FEEDBACK
“I need to choose which patient I’m charting for. I can’t trust the AI to figure that out.”
“I need to know what’s an AI suggestion and what’s going in the official record.”
TAKEAWAYS
Trust meant predictability and control. This shaped the final iteration.
03. Refined assistant
The final direction introduced explicit patient selection and clearer separation between AI suggestions and confirmed records.
NURSE FEEDBACK
“Finally knowing exactly which patient I’m documenting for makes this feel trustworthy.”
TAKEAWAYS
Giving nurses visibility and control over every step made the workflow feel safe enough to integrate into clinical environments.
After selecting a patient, nurses can review, edit, and confirm notes before sending them to the EHR.
Final in-app experience
A nurse-guided AI assistant designed around trust and real clinical workflows.
AI suggests. Nurses decide.
Nothing reaches the EHR without explicit confirmation.
The final design reduced documentation friction and preserved the oversight required in healthcare.
100+
Hospitals involved in pilot discussions through HCA Health’s network