---
title: The Charité Cohort Finder
description: The Charité Cohort Finder exemplifies how MII infrastructure can be not only technically implemented but also further developed in a user-oriented manner, serving as a bridge between routine data + research projects.
image: https://www.highmed.org/hubfs/The%20Charit%C3%A9%20Cohort%20Finder-1.png
---

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 English

# The Charité Cohort Finder

[Press & Public Relations](https://www.highmed.org/news/author/press-public-relations)

 17 Mar, 26 10:00 AM

 No quod sanctus instructior ius, et intellegam interesset duo. Vix cu nibh gubergren dissentias. His velit veniam habemus ne. No doctus neglegentur vituperatoribus est, qui ad ipsum oratio. Ei duo dicant facilisi, qui at harum democritum consetetur.

![The Charité Cohort Finder](https://www.highmed.org/hubfs/The%20Charit%C3%A9%20Cohort%20Finder-1.png)

<https://www.linkedin.com/shareArticle?mini=true&url=https://www.highmed.org/news/the-charité-cohort-finder>

Local Self-Service Feasibility Assessments in the MII Context: The Charité Cohort Finder 

The Medical Informatics Initiative (MII) lays the groundwork for making routine clinical data available for research across multiple sites. Data integration centers (DIZ) play a key role in this process by harmonizing local healthcare data, making it available in a standardized format via the FHIR Core Data Set (MII-KDS), and supporting researchers throughout all phases of research projects. 

An early phase of research projects is the feasibility study. At the DIZ site at Charité - Universitätsmedizin Berlin, a practical service was developed for this purpose: the Charité Cohort Finder. 

The tool enables researchers to conduct feasibility inquiries independently, directly based on the MII-compliant data set at the site. Typical inclusion and exclusion criteria such as diagnoses, procedures, and demographic characteristics can be intuitively combined or placed in a temporal relationship with one another. The results are aggregated statistics and descriptions of the cohorts. 

The benefits:   
- Faster orientation in early project phases   
- More efficient preparation of local studies and project proposals   
- Reduced workload for DIZ staff due to fewer feasibility inquiries   
- Transparent feasibility analyses based on standardized FHIR data 

The Charité Cohort Finder exemplifies how MII infrastructure can be not only technically implemented but also further developed in a user-oriented manner, serving as a bridge between routine data and research projects. 

![CCF-1](https://www.highmed.org/hubfs/CCF-1.png)

![CCF](https://www.highmed.org/hubfs/CCF.png)

 

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