SMITH |

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...

Darstellung einer IT-Infrastruktur: Nahaufnahme von mehreren blauen Ethernet-Kabeln, die in Netzwerk-Switches eingesteckt sind. Die Kabel verlaufen geordnet in verschiedene Ports, während das Bild eine klare, technisch saubere Umgebung vermittelt.

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...

27.02.2023

Starting signal for the new funding period – SMITH meets for the first closed meeting of the year

On January 1st of this year, the Medical Informatics Initiative (MII) moved into the consolidation and extension phase. The goals are clearly defined - the IT infrastructures established since 2018 are to be further expanded. This includes even stronger collaboration between the university hospitals as...

15.02.2023

INTERPOLAR team starts work in the project

Work on the INTERPOLAR project got underway with a kick-off meeting on February 10. In a first online meeting, all sites involved in INTERPOLAR came together to create a common basis for the start of the project. The project leader Prof. Dr. Markus Löffler, Director...

26.01.2023

Reducing medication problems – INTERPOLAR project launch | 5 Questions for… Prof. Dr. Petra Thürmann & Dr. Beate Mussawy

In January 2023, the POLAR follow-up project INTERPOLAR has started. On this occasion, Prof. Dr Petra Thürmann and Dr Beate Mussawy give an insight into the use case. They are experts in the field of pharmacology and pharmacy and have been supervising POLAR since the...

20.12.2022

Why Data Integration Centers are more than just technology | 5 Questions for… Data Integration Center Director Dr. Irina Lutz

Dr Irina Lutz heads one of the seven Data Integration Centers set up in SMITH so far. The graduate engineer combines technical expertise with computer science and basic clinical knowledge. At the RWTH Aachen University Hospital, Dr Lutz is responsible for the strategic planning of...

17.11.2022

How algorithms can help improve medical research and patient care | 5 Questions for… Junior Researcher Christoph Beger

Christoph Beger is a junior researcher in the SMITH Junior Research Group "Terminology- and Ontology-based Phenotyping (TOP)" at the Leipzig University. We talked to Christoph Beger about what algorithmic phenotyping is and why it can optimise research with medical data and thus patient care....

Author: Julia Jesser