MyTrials. Redesigning the clinical trial enrollment experience to increase successful patient-trial matches by 40% and reduce drop-off rates by translating complex medical jargon into plain English.
01 — Market Research
Why 97% of eligible patients never join a clinical trial
I conducted interviews with 40+ patients, oncologists, and clinical trial coordinators. The key finding: patients weren't opposed to trials — they simply couldn't find them or understand the eligibility criteria. The average trial listing used 8th-grade reading level jargon that required a medical degree to parse.
02 — UI/UX & Brand
Translating medical complexity into human clarity
I redesigned the search experience around patient mental models rather than medical taxonomies. Each trial listing was restructured with plain-English summaries, visual eligibility checklists, and location-based search. The design passed WCAG 2.1 AA accessibility standards and was tested with patients across varying health literacy levels.
03 — Development
Building a smart matching engine
I architected a matching algorithm that cross-references patient profiles against trial eligibility criteria using NLP to parse unstructured medical data. The tech stack was chosen for HIPAA compliance: Next.js frontend, Node.js backend with end-to-end encryption, and a PostgreSQL database with row-level security.
04 — Go-to-Market
Partnering with advocacy groups for trust-first growth
Rather than paid acquisition, I partnered with patient advocacy organizations and oncology practices to distribute the platform through trusted channels. This trust-first approach resulted in a 60% signup-to-match conversion rate — 3x the industry average.
Project Outcome
“Increased successful trial matches by 40% and reduced drop-off rates during enrollment.”
MyTrials Inc.