Reimagine Clinical Workflows with Search, AI, and Accessibility
Company
Role
Team
Timeline
Weill Medicine Cornell
Product Designer
PM (Dr. Rameau, MD), 3 Dev engineers (Alex, Pantelis, Jeff), 2 ML researchers (Chen, John)
Apr 2025 - Present
Auditing the existing experience
USER INTERVIEW & USABILITY AUDITS
I performed 3 interviews with clinicians using the current app, and a usability audit.
Clinicians are facing (in current app)
Inefficient starting
Hard to locate patients
They expect
Able to identify patients by name, MRN, and date visited
Record patient visits and track data clearly
Perform clinical tasks quickly and smoothly
Lost session data
Design goal
Helping clinicians locate patients quickly, document visits comprehensively, and leverages AI diagnosis insights for clinicians and patients.
Criteria
Privacy
of patient information
Accessibility
to senior patients
AI Insights
for patients and clinicians
Key metrics
Patient‑Search Time (≤ 10 s)
Session‑Capture Completion (≥ 95%)
Accessibility Compliance (100%)
Clinician Satisfaction (≥ 80 (SUS) / ≥ 4 out of 5)
Shipped prototype — Improved patient-intake efficiency and precision
USER REVIEWS
“I really like the smart actions. It’s so intuitive and convenient!“
— MD, Clinical Lead, Anais
“The usability and readability of the tasks are improved greatly. The new navigation is very helpful.“
— Primary Clinician, Sara
Private search, task shortcuts, and patient profile
Task facing clinicians and patients, senior accessible
Co-designing with PM, engineers, and users
CO-DESIGN WORKSHOPS
I pulled PM, engineers, and users to discuss flows and new features together.
Mid-fi Prototype
User Feedback
I showed a higher fidelity concept to our clinician users, and received the feedback that patients also look at the screen.
I should find a way to make search efficient and protected.
Final Solution
Efficient, protected searches leading to sessions and AI diagnosis
Make it accessible to (senior) patients
Metrics measured against goals
NEXT ➝
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