Mission
We enable closer integration of clinical practice and clinical research with a cloud-native and unified solution for your complex and conventional trials. Built by scientists for scientists.
Origins
EasyRF is born out of necessity. While building a complex adaptive platform trial, we couldn't find an existing, affordable solution that would enable us to harvest the full potential of this trial design. And so, we built it ourselves and did so in a way that makes it useful for fellow researchers.
Approach
When building EasyRF we took a step back and went back to the drawing board to re-define and re-discover how clinical and research staff interact with electronic data capture solutions in clinical trials. Therefore, EasyRF relieves several pain points specific to domain-based platform trials where existing solutions fall short:
Atomic data points for faster data entry
We re-imagined data entry around atomic data points, so the same data point is entered once—and used everywhere, to speed up data entry and reduce errors
Flexibly adapts to real data needs
Configure different locations for participants and experience how data entry dynamically adapts to the locations of your participants. This way, you can e.g. collect detailed data while the participant is admitted to the hospital but minimise data collection while the participant is at home.
Site, user and access management
EasyRF puts you in charge of who can access and edit what, with a fine-grained role-based access control system. This way, each staff member only needs a single user with appropriate roles on different sites and trials.
Tailored user interface
Clinical staff who occassionally use the system for screening will enjoy a simplified UI while your dedicated research staff will have access to advanced functionality appropriate for their tasks and GCP training.
Trials
Multiple trials are already using EasyRF for efficient and robust data entry.
The Intensive Care Platform Trial is the first domain-based adaptive platform trial in Denmark and assesses common interventions in acutely ill patients in intensive care units. It currently runs two domain each enrolling up to 10,000 participants. Read more →
The Empirical Meropenem vs Piperacillin/Tazobactam for Adult Patients with Sepsis (EMPRESS) trial is an investigator-initiated, international, parallel-group, randomised, open-label, adaptive clinical trial with an integrated feasibility phase and will enroll up to 14,000 participants. Read more →
Our team
Meet the people behind EasyRF. Every day we work hard to deliver the best system for electronic data capture in adaptive and conventional trials.
Davide Backend, DevOps
Biomedical engineer and data scientist with a PhD in machine learning. Made the first-ever commit to the codebase.
IoBackend, Frontend
Computer scientist and senior software developer with extensive experience in web and native app development.
Hans-Christian Backend, Integrations
MD, specialist in intensive care, and holds a PhD in machine learning and data science. Extensive clinical experience including conducting clinical trials.
Benjamin Frontend, Backend
MD and PhD with extensive experience in data science, biostatistics, epidemiology and adaptive trial design
Get in touch
We would love to hear from you! Whether you have questions, feedback, or want to learn more about EasyRF, throw us an email at hello@easyrf.dk and we'll get back to you.