SMITH |

29.06.2023

“We have to find a common language”: GeMTeX_MII makes it possible| 5 Questions for… Christina Lohr and Luise Modersohn about the start of the project

How can clinical documents be used for automatic language processing? What are the challenges? How can clinicians and researchers use a corpus of medical texts? Christina Lohr and Luise Modersohn, research assistants in the GeMTeX project, answer these questions in an interview....

28.06.2023

The largest dataset of German-language medical texts is being created | GeMTeX Kick Off Meeting in Leipzig

Clinical texts from routine care, such as doctors' letters, contain a treasure trove of data that is very valuable for research and clinical practice. The GeMTeX project aims to make this treasure accessible by preparing patient care texts for automatic language processing. The GeMTeX project...

22.06.2023

International Exchange in the SMITH Consortium | Meeting of the External Advisory Board

International exchange is essential for the further development of the infrastructure of the Medical Informatics Initiative. The SMITH Consortium therefore met with the SMITH External Advisory Board to discuss the opportunities and challenges of the new funding phase of the MII. You can read about...

08.06.2023

Improving medication safety through medical data networking | 2nd INTERPOLAR Day in Leipzig

On 31 May and 1 June about 60 participants of the INTERPOLAR project met for the second INTERPOLAR Day in Leipzig. The focus of the event was on the coordination of drug safety and care standards in hospital pharmacy services as well as the integration...

05.06.2023

Medical Informatics Initiative infrastructure to be further expanded | SMITH Closed Meeting in Leipzig on 30 and 31 May

On 30 and 31 May, around 40 members of the SMITH Consortium met for a closed meeting at the Albertina Library of the Leipzig University. The second meeting of the year focused on the further development of the consortium's cooperation and technical harmonisation in the...

01.06.2023

SMITH project helps to make medical texts usable for automated analysis

Routine care generates large volumes of medical text that contain valuable information about patients. However, the wording, content and structure of medical documentation can vary greatly between different institutions, making it unusable for digital programmes or analysis across different locations. In the SMITH consortium, the...

25.05.2023

SMITH-Use Case PheP: Innovative tools and methods for clinical data evaluation – A summary of five years of project work

Through the work of the Medical Informatics Initiative (MII) and the associated establishment of Data Integration Centres, a unique and rich pool of clinical care data from various areas of healthcare is being made available for research. Unique because the form and content of this...

21.04.2023

Meet SMITH at DMEA 2023!

Making routine clinical data available for medical research is an essential building block for progress in medicine. Individualised therapies and even more precise diagnoses will thus be possible in the future. In addition, health data provide a basis for the development of digital technologies to...

12.04.2023

TOP Junior Research Group: First prototype for modelling phenotype algorithms completed

The SMITH Junior Research Group "Terminology and Ontology-based Phenotyping" (TOP) aims to implement an easily accessible ontology-based software platform for modelling and executing phenotype algorithms. The so-called TOP framework is implemented as a modular web application that combines various software tools and services for algorithmic...

05.04.2023

About Virtual Patients and Artificial Intelligence in the Intensive Care Unit | 5 Questions for… Konstantin Sharafutdinov

The current rapid developments in artificial intelligence (AI) and machine learning hold great potential for optimising intensive care medicine. For example, these technologies can be used to predict the course of disease and thus prevent exacerbations. In the interview with former SMITH doctoral student Konstantin...

Author: Julia Jesser