For up-to-date information on the activities of the Data Integration Center:
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UKJ employees can obtain further information via Services of the Data Integration Center on the UKJ intranet.
The intention of the work in the Data Integration Center (DIC) is to enable medical information to be collected, stored and exchanged in a form in which it can be optimally used for healthcare and research. The services of the DIC contribute directly to health data usage as well as to the establishment of a research-compatible electronic patient record at the Jena University Hospital.
As part of the Medical Informatics Initiative as well as of the Netzwerk Universitätsmedizin of the Federal Ministry of Education and Research, university hospitals in Germany are operating DIC. Their aim is to make research data and healthcare data available on a larger scale and they are working linked to each other.
The establishment of the DIC as an organizational and technical connection point between clinical care and scientific research was performed at the Information Technology Department in close cooperation with the Institute for Medical Statistics, Informatics and Data Sciences (Prof. Dr. André Scherag as scientific director and Prof. Dr. Cord Spreckelsen with the Medical Informatics working group).
Through its activities, the DIC is committed to improving research opportunities and patient care at the Jena University Hospital. This includes a direct participation in research projects with corresponding data use and the possible use of research results to improve patient care.
Scientifically active persons with interest in the involvement of the DIC in a research project or in the use of research or healthcare data of the Jena University Hospital can contact us via the project management of the DIC:
A Use and Access Committee is responsible for managing and controlling the use of healthcare and research data in the context of projects. The decisions of this committee on the implementation of project applications (application review, data use, data access) are made in close cooperation with the Ethics Committee of the Friedrich-Schiller University Jena at the Medical Faculty, and with the Legal Department of the UKJ, with the official data protection officer of the UKJ, and with the structural units / projects / consortia contributing data.
The DIC, within the Jena University Hospital and as a part of the SMITH consortium, works closely together with the German organizations responsible for the development of technical standards for digitalization in healthcare (SDOs, Standards Developing Organizations). These include in particular HL7 Deutschland e.V. and IHE Deutschland e.V.
Within the framework of the IT platform strategy of the Jena University Hospital Jena and for all data usage and data exchange projects at the DIC, internationally agreed interoperability standards are used. On the basis of modern technical formats and protocols as well as through globally unique encoding of medical contents, these standards enable automated processing of medical data independent of location and manufacturer, and are thus the key to the progress of digitalization in the health care system.
The activities of the DIC in this environment include:
Project Type: multi-site research project
Heads of Project:
Duration and Status: 1.3.2022 – 30.11.2022, ongoing Data Use Project
Data Types Provided: treatment case data, diagnoses, procedures, laboratory observations, and medication data
Abstract:
Heat waves are known to lead to an increase in hospital admissions. The present project aims to investigate how great the influence of heat is on a person's risk of stroke. For this purpose, the first step is to determine a baseline risk that patients have in general and depending on their health status. The second step is to determine how much the risk of stroke increases as a result of a heat wave in a region. For this purpose, regional data from the German Meteorological Service are used and analyzed together with data on admissions with a diagnosis of stroke from many participating university hospitals.
Funding:
The project is conducted as part of the Medical Informatics Initiative (MII) and is funded by the Federal Ministry of Education and Research (BMBF).
Link: Description of the project at the "Forschungsdatenportal für Gesundheit"
Project Type: multi-site research project
Heads of Project:
Duration and Status: 1.3.2022 – 31.8.2022, completed Data Use Project
Data Types Provided: treatment case data, diagnoses, and laboratory observations
Abstract:
It is sometimes difficult and tedious to reliably diagnose atrial fibrillation, a mostly chronic cardiac arrhythmia, in patients. Ususally, a long-term ECG (electrocardiogram), i.e. a measurement of the heart currents, is used for this purpose. In the NT-proBNP project, the aim is to determine whether the measurement of the biomarker NT-proBNP can be used in addition to the ECG as an indication for a reliable diagnosis. (A biomarker is a biological characteristic that can be measured in blood or tissue samples). For this purpose, the correlation between atrial fibrillation and the occurrence of the biomarker NT-proBNP will be analyzed at all participating university hospitals.
Funding:
The project is conducted as part of the Medical Informatics Initiative (MII) and is funded by the Federal Ministry of Education and Research (BMBF).
Link: Description of the project at the "Forschungsdatenportal für Gesundheit"
Project Type: multi-site research project
Heads of Project:
Duration and Status: 27.1.2020 – 31.12.2022, ongoing Data Use Project
Data Types Provided: aggregated information on COVID-19 cases
Abstract:
For an overview of relevant parameters of COVID-19 cases at the university hospitals, a web dashboard was developed which can be filled with aggregated data from multiple institutions. With the hospital and ITS durations, the dashboard already contains current data that is otherwise hardly available. Cumulated data for all participating university hospitals is presented publicly.
Funding:
This project is funded by the German Federal Ministry of Education and Research (BMBF) as part of the Medical Informatics Initiative (MII) under the funding code (FKZ), here site-specific FKZ: 01ZZ1803C, and is carried out in the Smart Medical Information Technology for Healthcare (SMITH) consortium.
Link: COVID-19-Dashboard
Project Type: multi-site research project
Heads of Project:
Duration and Status: 1.2.2020 – 31.12.2022, ongoing Data Use Project
Data Types Provided: medication data
Abstract:
In the POLAR project, medical informatics specialists, biometricians, epidemiologists, pharmacists, clinical pharmacologists and healthcare researchers from 21 institutions, including 13 university hospitals, are working together to collect data on prescribed drugs (e.g. medication plans) as well as on prescriptions and drug dispensations from pharmacies, to classify polymedications with regard to Potentially Inadequate Medication (PIM) and a selected range of drugs as high-risk prescriptions, to digitally represent scores to identify high-risk patients for drug-related problems and to identify the occurrence of adverse drug reactions and their consequences at an early stage or to avoid them altogether.
Funding:
This project is funded by the German Federal Ministry of Education and Research (BMBF) as part of the Medical Informatics Initiative (MII) under the funding code (FKZ), here site-specific FKZ: 01ZZ1910C.
Link: description of the project at the website of the Medical Informatics Initiative
Project Type: multi-site research project
Heads of Project:
Duration and Status: 1.1.2018 – 31.12.2022, ongoing Data Use Project
Data Types Provided: microbiological diagnostic reports
Abstract:
In the use case HELP, we are developing a hospital-wide computerized decision support system to improve the outcomes of patients with bloodstream infections. This involves the targeted use of antibiotics in accordance with clinical guidelines to combat bacterial infections – especially against the background of the insufficient number of trained infectiologists in Germany. The use case will be implemented and evaluated on normal and intensive care units at the SMITH locations Jena, Leipzig and Aachen as well as Halle and Essen.
Funding:
This project is funded by the German Federal Ministry of Education and Research (BMBF) as part of the Medical Informatics Initiative (MII) under the funding code (FKZ), here site-specific FKZ: 01ZZ1803C, and is carried out in the Smart Medical Information Technology for Healthcare (SMITH) consortium.
Link: description of the project at the "Deutsches Register Klinischer Studien (DRKS)"
Project type: multi-site research project
Heads of Project:
Duration and Status: 1.1.2018 – 31.12.2022, ongoing Data Use Project
Data Types Provided: intensive care monitoring data
Abstract:
In the Use Case ASIC, an algorithm-based monitoring of the condition of critically ill patients will be instituted in intensive care units by means of continuous evaluations from the patient data management system. This will create the prerequisite for an early alarm in case of acute lung failure (ARDS), which should enable rapid diagnostic and therapeutic intervention. These data are analyzed by high-performance computing and processed for clinical decision support.
Funding:
This project is funded by the German Federal Ministry of Education and Research (BMBF) as part of the Medical Informatics Initiative (MII) under the funding code (FKZ), here site-specific FKZ: 01ZZ1803C, and is carried out in the Smart Medical Information Technology for Healthcare (SMITH) consortium.
Link: description of the project at the "Deutsches Register Klinischer Studien (DRKS)"
Project Type: on-site research project
Head of Project:
Duration and Status: 1.1.2016 – 30.6.2020, completed Data Use Project
Data Types Provided: free text documentation, e.g. from doctors' letters
Abstract:
In the STAKI2B2 project, valid phenotype data and other relevant comparative information will be extracted automatically from clinical documents using automatic speech processing methods to improve the application of new markers from biomaterials in clinical processes. For this purpose, a text analytics pipeline will be established, which automatically determines relevant medical entities and relationships between these entities from clinical documents using semi-monitored machine learning methods.
Funding: Deutsche Forschungsgemeinschaft (DFG), Project No. 315098900
Project Type: multi-site research project
Heads of Project:
Duration and Status: 1.5.2017 – 30.4.2020, completed Data Use Project
Data Types Provided: data from patient treatments in the central emergency ward
Abstract:
In INDEED, routine data of patient care in the emergency department will be linked with billing data of the German "Kassenärztliche Vereinigungen". The aim is to be able to research the use of the outpatient health sector as well as the emergency ward as an interface between outpatient care and hospital on a cross-regional and intersectoral basis.
Funding: this project is supported by the Innovation Fund at the G-BA, funding code 01VSF16044
Links:
Description of the Project at the G-BA website of the Innovation Fund projects
Project Type: multi-site research project
Heads of Project:
Duration and Status: 1.6.2017 – 1.5.2020, completed Data Use Project
Data Types Provided: Patient movement data within the hospital
Abstract:
The aim of the project is to investigate the transmission of multi-resistant gastrointestinal pathogens in health care systems of selected countries in Europe and Israel. The role of patient flows between hospitals and during inpatient stays as well as the characteristics of different gastrointestinal pathogens will be considered. Based on this, a generic network model will be developed to investigate the effects of different prevention strategies.
Funding:
This project is part of a transnational research network within the Joint Programming Initiative on Antimicrobial Resistance (JPIAMR) and is funded by the Federal Ministry of Education and Research (BMBF) under the funding code (FKZ) 01KI1704A-C.
Links:
description of the project at the webseite of the University Hospital Halle
Project Type: multi-site research project
Heads of Project:
Duration and Status: 1.4.2018 – 28.2.2019, completed Data Use Project
Data Types Provided: Data records of the structure according to § 21 KHEntgG, InEK GmbH
Abstract:
The aim of the present study is a retrospective descriptive evaluation of the topics multimorbidity and rare diseases based on available billing data of the participating university hospital sites. The data will be used to determine comorbidity scores and to compare them with previously published analyses. In addition, for aggregated rare diseases, statements on the distribution and distance of care to the participating university hospitals will be described with the help of a geovisualisation, while respecting data protection.
Funding:
The project is conducted as part of the Medical Informatics Initiative (MII) and is funded by the Federal Ministry of Education and Research (BMBF).
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Photos of persons/groups: UKJ/H. Hellmann
Last content update on this page: June 5, 2023
