Overview
In spring 2023, I joined Originmedical.ai as a Product Designer, leading the design of five AI-first SaMD solutions for fetal ultrasound. My goal was clear: enhance sonography workflows and improve clinical efficiency.
Through deep user research—interviews, surveys, and hands-on testing—I uncovered critical workflow pain points, driving a 45% boost in usability. Using Figma for rapid prototyping, I accelerated development by 32%, ensuring seamless integration across multiple user modes.
I collaborated daily with cross-functional teams, aligning design with clinical needs and strict FDA regulations. My work in usability engineering, focused on HCI principles and rigorous testing, strengthened product metrics for regulatory submissions.
Beyond product design, I mentored three interns, elevating team performance and design quality. This journey not only optimized prenatal workflows but also improved diagnostic accuracy, leaving a lasting impact on both clinicians and patients.
Duration
April, 2023 - Present
UX Research, UI UX Design, Prototyping, Design Operations, Heuristic Analysis, Usability Testing.
Role
3 Products & 2 Conceptual Tools
Outcome
The Product Ecosystem
The ecosystem was designed to support users at multiple stages of the imaging workflow, from real-time exam support to image review and regulatory reporting. Each product solved a specific user problem—but also contributed to a larger, integrated system.
Exam Assistant: AI-guided tool for in-the-moment image acquisition and guidance.
DICOM Workstation: A review and reporting platform tailored to Sonographer’s and MFMs workflows.
Administrative Software: A compliance-focused module supporting access management, audit trails, and role-based permissions
Conceptual Tools: Internal prototypes and workflow experiments used to test future product directions.
The interconnectedness of these tools emerged through deep user immersion—clinical observations, journey mapping, and iterative feedback sessions. Each product was shaped by shared pain points, regulatory needs, and AI system capabilities.
Origin medical : Problem space exploration
A UX Research Case study
To design an AI-powered solution that seamlessly integrates into the sonography workflow, I needed to understand the challenges sonographers face in their day-to-day tasks. Through a structured UX research approach, I aimed to uncover inefficiencies, usability gaps, and pain points that impact workflow efficiency, ergonomics, and overall user experience.
Exam Assistant
Designing real-time support for image acquisition
This was the first product I worked on at Origin Medical and the foundation for the ecosystem that followed. The goal was to assist sonographers during live exams by providing AI-powered guidance on capturing the right anatomical views. It needed to work in the flow, without interrupting clinical thinking—supporting sonographers without overwhelming them.
Sonographers faced high physical & cognitive load during image acquisition, leading to variability in quality and missed documentation.
The Problem
We built a context-aware assistant that guides users through optimal imaging views using real-time AI feedback.
The Solution
Defined design requirements through field research and task analysis.
Conducted iterative usability testing with sonographers across multiple rounds.
Improved image consistency and reduced scanning time during pilot trial.
Highlights
Exam Assistant: Designing real-time support for image acquisition
UX Design Case study
The initial findings helped us define clear design requirements for an AI assistant that could deliver in-the-moment guidance without disrupting the flow of the exam.
By grounding our approach in real-world observations and user feedback, we were able to frame the assistant not as a directive tool, but as a collaborative, context-aware support system—one that adapts to the sonographer’s needs and helps ensure exam quality, consistency, and efficiency.
The DICOM Workstation
A review and annotation platform tailored to radiologist workflows
Following our work on the Exam Assistant, it became clear that capturing quality images was only part of the solution. Radiologists needed a streamlined environment to review those images—an interface that respected their focus, supported AI overlays, and reduced the clutter of traditional workstations.
This led to the creation of the DICOM Workstation: a review and annotation tool designed with a deep understanding of radiologist behavior, decision-making flow, and regulatory standards.
Radiologists needed a streamlined way to review, annotate, and report findings—but existing tools were cluttered and not tailored for AI workflows.
The Problem
A clean, focused review environment built with customization, annotation tools, and seamless AI overlay integration.
The Solution
Informed by learnings from Imaging Mode feedback loop
Supported advanced use cases like longitudinal study comparisons
Included FDA considerations for audit trails and AI result presentation
Highlights
Simplifying AI Imaging Review: The DICOM Workstation
UX Design Case study
Our design process uncovered that radiologists often struggled with tool overload, unintuitive layouts, and unclear AI output integration. Through interviews, co-design sessions, and usability testing, we translated these findings into a clean, modular interface that prioritized clarity, control, and configurability.
The final design improved diagnostic speed and accuracy while ensuring FDA-aligned presentation of AI outputs. Most importantly, it respected the radiologist’s cognitive space—supporting, not overwhelming, the decision-making process.
Administrative Software
A compliance-focused module supporting access management, audit trails, and role-based permissions
As our product suite evolved, it became crucial to support the non-clinical, compliance-oriented aspects of the platform. Regulatory requirements demanded robust user access controls, audit trails, and role-based permissions—all of which needed to be handled within an intuitive interface.
That’s where Admin Mode came in. This tool was built to help internal teams manage platform usage securely and efficiently, while staying aligned with FDA and SaMD standards.
The platform needed to comply with strict regulatory standards for access, data privacy, and traceability.
The Problem
A role-based administration dashboard enabling compliance without compromising usability.
The Solution
Designed based on regulatory documentation & security audits
Supported role-based access control, activity logging, and export-ready reporting
Validated with QA teams and regulatory stakeholders before implementation
Highlights
Secure, Compliant, and Usable: Designing Admin Tools for SaMD
UX Design Case study
Through close collaboration with regulatory teams and quality assurance leads, we translated compliance requirements into actionable UX flows.
We prioritized clarity, traceability, and ease of administration, ensuring the tool could support real-time audits and secure access management without burdening non-technical users. The final design enabled scalable administration and laid the groundwork for future enterprise-wide compliance tools—making regulation feel less like a barrier and more like a built-in feature.
Conceptual Tools & Workflow Prototypes
Alongside the core products, I contributed to two conceptual tools that explored what’s next:
AI Quality Scoring Prototype for image consistency evaluation
Scan Timeline Interface that visualized AI confidence and user navigation through complex exams