Transforming how blood clots are detected
AutoDVT is an ultrasound solution that uses artificial intelligence to guide non-ultrasound medical professionals, such as nurses and GPs, in performing a deep vein thrombosis (DVT) ultrasound exam to detect blood clots. The tech dramatically reduces the cost and time to diagnose patients by increasing the number of medical staff who can perform the exam, not only radiologists.
Designing a beta release for clinical trials
As the founding designer at ThinkSono, my role was to establish the user experience for AutoDVT from the ground up. The goal was to release a beta to kick off clinical trials, gather clinical data, and go through the regulatory process to receive FDA clearance.
My main focus areas were:
Establish a streamlined UX process to meet an ambitious deadline to roll out clinical trials.
Lead the UX design process end-to-end and other design fronts outside UX design, such as marketing and
video projects.
Collaborate with founders and engineering to define product vision, strategy, and roadmap.
ThinkSono, a MedTech startup that makes smart ultrasound software, began with a focus on funding, training, and perfecting their machine learning algorithm, the company's secret sauce. Then, with enough traction and success, ThinkSono was ready to move into product development. I was tasked to design the company's first product, AutoDVT.
impact
This project was successfully designed and developed on time despite an ambitious deadline. We achieved a significant milestone by completing the core flows to release a beta version to collect clinical data for medical device approval and validating the product as safe, reliable and fast.