MeDIZ.Rostock Dashboard

This presentation was part of the Love Data Week 2026. The Medical Data Integration Center Rostock (MeDIZ.Rostock), part of the University Medical Center Rostock (UMR), is a relatively new Medical Data Integration Center that started extracting and transforming clinical routine data in May 2025. Despite this, as of February 2026, the MeDIZ.Rostock has already generated over 1 million FHIR resources pertaining to approximately 25000 patients. Although this is considered a success, we lack a tool to properly communicate this information, to compile and summarize key performance data, to visualize the distribution of data, and to notify our end-users about relevant information. Therefore, we developed a dashboard that serves as a communication and visualization tool to better understand what kind of data is available at the MeDIZ.Rostock and to also inform our end users about the next steps that need to be taken if they want to use this data for their own research.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-18
DOI
https://doi.org/10.5281/zenodo.18681653
Primary Topic
Machine Learning in Healthcare
Type
article
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article

MeDIZ.Rostock Dashboard

Sherry Freiesleben, Petra Gröber, Dagmar Waltemath
Zenodo (CERN European Organization for Nuclear Research)
Machine Learning in Healthcare
article

MeDIZ.Rostock Dashboard

Sherry Freiesleben, Petra Gröber, Dagmar Waltemath
article en

Abstract

This presentation was part of the Love Data Week 2026. The Medical Data Integration Center Rostock (MeDIZ.Rostock), part of the University Medical Center Rostock (UMR), is a relatively new Medical Data Integration Center that started extracting and transforming clinical routine data in May 2025. Despite this, as of February 2026, the MeDIZ.Rostock has already generated over 1 million FHIR resources pertaining to approximately 25000 patients. Although this is considered a success, we lack a tool to properly communicate this information, to compile and summarize key performance data, to visualize the distribution of data, and to notify our end-users about relevant information. Therefore, we developed a dashboard that serves as a communication and visualization tool to better understand what kind of data is available at the MeDIZ.Rostock and to also inform our end users about the next steps that need to be taken if they want to use this data for their own research.

Zenodo (CERN European Organization for Nuclear Research)
Universitätsmedizin Greifswald (DE), Universitätsmedizin Rostock (DE)
Openalex Percentile: Top 51%
Machine Learning in Healthcare
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