Apr 16, 2025
Quick to Study - recruIT, the digital recruitment platform within the NUM study network
The Dresden team led by Dr. Elisa Henke, Alexander Engelbrecht and Dr. Thomas Ruprecht, based at the Institute of Medical Informatics and Biometry (IMB), is responsible for work package 4 within the NUM study network:
In this, the three-person team is developing the support platform 𝗿𝗲𝗰𝗿𝘂𝗜𝗧, which is used to identify potential study participants:
Through automated pre-selection of patients, recruIT enables an efficient review of the inclusion and exclusion criteria of studies and supports study teams in the complex and lengthy study process - by significantly improving processes for screening and feasibility analyses.
The implementation of the software is based on FHIR MII KDS and OMOP. The application builds on preliminary work by the MIRACUM consortium of the Medical Informatics Initiative (MII), in the course of which the system was originally developed and evaluated at various sites. This is now to be further developed within the NUM study network. The software is currently being rolled out at the first 15 DIZ sites involved in the specialist network for infections.
Also planned is:
- Training of the study teams to ensure efficient use of the software during deployment
- An exchange with the specialist network on infections to map the inclusion and exclusion criteria from the modules of the specialist network
What makes the application special?
- The Trial Administration Module manages trials and their inclusion and exclusion criteria, implemented by OHDSI Atlas
- The Patient Data module provides patient data
- The Query module periodically searches for suitable patients based on the study criteria
- The Notification module notifies study personnel by e-mail about new recruitment proposalsThe Screening List module provides recruitment proposals with patient data and editing functions in a web application
A central e-mail address for IT support has been set up and can be reached at:
You can access the LinkedIn article on the NUM study network page here:
Further information can be found here: https://lnkd.in/eMtZESrX