Keun® is a web based modern variant of the Usagi OMOP CDM mapping tool.

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Objective

The OHDSI team has created a software tool named Usagi to assist users in mapping codes from a source system into the standard terminologies stored in OMOP vocabulary.

Usagi works, but it has the following issues:

• It is slow (especially when loading large CSVs)
• You need to install dictionaries from Athena
• It requires software installation (Java)
• No four-eye principle
• It doesn’t do translations
• The search results of Usagi are not on par with Athena

To handle this issues, we decided to create our own tool called Keun®.

Methodology

• Svelte (Javascript framework, cybernetically enhanced web apps)
• Svelte-datatable component to handle large CSV files
• Athena API for vocabulary
• Translations through Bergamot: machine translation in your browser

Impact and future directions

Keun® will impact those who map concepts on a daily basis. Since Usagi is a complex piece of software that is not user-friendly, we aimed to make Keun® intuitive. Our goal was to create a tool that is easy to use and intuitive.

Currently, we have a version of Keun® that runs from our Github pages. The next version will use a Firebase backend to support collaboration. In this version, a user will be able to upload a file and assign other users to map that file. This version will greatly improve the feedback cycle.

In the current version, when a user finishes mapping, they need to download the file. To get feedback on the mapping, they will need to send that file to a colleague. This won’t be necessary in the next version.

General info and contact

Keywords (#): Keun®, mapping, Usagi, Svelte, Athena

RADar project research lead: Toby Bostoen

Timeline: Keun® Firebase version: March 9

Status: The first version is online. The second version is a work in progress.