SMITH | Archive

01.07.2026

Advancing the Use of Clinical Texts for Research and Artificial Intelligence

From June 22 to 23, 2026, GeMTeX project staff gathered at the TUM University Hospitel rechts der Isar for an internal large language model (LLM) workshop and plenary meeting. The meeting was held to discuss the project’s current progress and prepare for the final phase...

24.06.2026

Detection and Prediction of Adverse Drug Events: Results from the POLAR Project – Part 2

In the second part of our interview-series, Dr. Anna Wermund shares insights into the valuable findings for medication safety research that emerged from her subprojects within POLAR....

13.05.2026

Standardizing Clinical Documents: The New Core Dataset Module “Document”

The computer-assisted analysis of clinical texts such as discharge letters or surgical reports is becoming increasingly important for medical research due to advances in natural language processing (NLP) and large language models (LLMs). To make these unstructured data usable across institutions, the “Document” core data...

08.04.2026

INTERPOLAR: Comprehensive datasets on medication safety available – data analyses begin

12th INTERPOLAR Day on March 26–27, 2026 in Leipzig On March 26 and 27, project members from the INTERPOLAR project met to exchange on the next phase of the studies on medication safety. INTERPOLAR investigates how IT-supported medication analyses can assist hospital pharmacists in identifying clinically relevant...

31.03.2026

Increased Risk of Falls Due to Potentially Inappropriate Medication (PIM)? What the Data from the POLAR Project Show – Part 1

The POLAR project investigated the association between polypharmacy and health risks. In this Interview, Louisa Redeker, research associate at the Department of Clinical Pharmacology at Witten/Herdecke University, discusses her subproject. She examined the relationship between potentially inappropriate medication (PIM) and the occurrence of falls in...

06.03.2026

MII Core Data Set Module “Microbiology” Implemented at the Data Integration Center Halle (Saale)

The Data Integration Center at University Medicine Halle has implemented the “Microbiology” module of the core data set of the Medical Informatics Initiative (MII). With this step, the site reaches another milestone and expands its interoperable data infrastructure to include structured microbiological findings....

13.01.2026

A Look into the Data Integration Centers: Implementing Medical Research Projects in a Low-Threshold and Secure Way with the Aachen Data Integration Center

In the SMITH news series “A Look into the Data Integration Centers”, the Data Integration Centers established within the SMITH Consortium of the German Medical Informatics Initiative (MII) are introduced. Originally established at university medical sites, the Data Integration Centers enable secure and data protection-compliant...

Ein Gruppenfoto des DISTANCE:PRO-Teams in Freyburg an der Unstrut.

17.12.2025

Making Meaningful Use of Routine Data from Regional Healthcare: DISTANCE:PRO Defines the Next Steps

A large proportion of medical data is generated every day in the routine care provided by regional hospitals. Its potential for research is enormous, yet it remains largely untapped. How such data can in future be structured, used securely, and made available across sectors for...

03.12.2025

Medical data and biosamples from a single source: How the Data Integration Center and the Halle Biobank jointly connect healthcare and research

5 Questions for… Dr. Daniel Tiller and Dr. Melanie Zinkhan Since 2022, the Data Integration Center and the Biobank at University Medicine Halle have been collaborating to support medical research at the site. Meanwhile, more than 10,000 patients in Halle have consented to the use of...

27.11.2025

A Look into the Data Integration Centers: Near Real-Time Data Provision at the University Hospital Bonn

In the eighth part of our Data Integration Center series, the team at the Bonn Data Integration Center demonstrates how a flexible organizational structure can enable automated, near real-time data provision from clinical care for research purposes....

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