Overview

Context

RAMPmedical is an AI-powered clinical decision support tool that helps physicians identify optimal treatments based on medical guidelines, clinical trials, and patient data. In the standalone version, patient information was not stored, requiring doctors to re-enter data for each use.

The project team included the CEO, Sales, two developers (frontend and backend), and me as the sole designer, with guidance from a medical advisory board of two senior physicians.

Opportunity

Drawing on insights from our main software, we knew small practices were struggling to manage their medical records, and existing EMRs had not yet integrated AI capabilities. At the same time, we wanted to increase adoption of the standalone Clinical Decision Support product by providing medical doctors and small practices with a simple, intuitive EMR that enables secure patient data storage and integrates seamlessly into their daily workflows.

My role

I led the end-to-end design of a 0->1 software product, integrating it with the existing platform while ensuring it could also operate independently, thereby expanding the company's overall offering. I planned and conducted comprehensive design research, combining qualitative methods (market research, product–market fit analysis, in-depth interviews, and usability testing) with quantitative approaches (data analytics and A/B testing). I drove the full service design process following the double diamond methodology, collaborating closely with Sales, Technology, and Marketing teams, managing the project timeline and ensuring quality assurance throughout delivery.

Outcome

We launched the first version of the EMR and received continuous feedback from users and clients, which allowed us to keep iterating. After conducting unmoderated user testing, we made a major change to the navigation system, which increased average session time and made onboarding faster.