Analyze health research data,
simply and efficiently

A low-code platform designed for healthcare professionals and data scientists

Organize your data yourself

Easily create a custom patient record tailored to the specific needs of your research project.

Create interactive dashboards

Create customized dashboards to easily explore your data.
Display your information as graphs or tables tailored to your needs.

An intuitive graphical interface

Organize your projects into tabs. Decide which data to display and in what format.

"I’d like to display respiratory rate and saturation as a timeline"

A low-code Interface

A graphical interface (no-code) allows you to visualize and analyze data without prior programming knowledge.
A programming interface lets you edit the code generated by the graphical interface, in R or Python.

International standards

LinkR relies on the common data model OMOP, a widely used international standard.
This facilitates sharing and collaboration on health data-based projects.