All work
04Private

Galenos

A living evidence resource for mental‑health research prioritization.

Galenos interface

Overview

Galenos is a living evidence resource supporting mental‑health research prioritization. Data ingestion and search features make research findings discoverable and reusable as the evidence base grows. Reliable data modeling and clear APIs underpin the research workflows the platform supports.

Challenges

Keeping evidence living

A living evidence resource depends on new research flowing in continuously, which puts weight on the ingestion path.

Discoverability of findings

Research findings are only reusable if they can be found, so search had to work well against the growing evidence base.

Reliable research data models

Research workflows depend on consistently structured data, making the data model a foundation of the platform.

Solutions

Data ingestion features

Implemented ingestion so the evidence base stays current rather than becoming a static snapshot.

Search across the evidence

Built search features that make research findings discoverable and reusable.

Clear APIs on solid models

Emphasized reliable data modeling and clear APIs so research workflows can build on the platform with confidence.

Next projectKurage.in