Project Overview

Data use through the DIC Jena

The research projects described below involving the use of data from patients treated at the UKJ have been or are being carried out at the DIC. Not listed are numerous other local data use and service projects.

For multicenter projects, please also refer to the overarching project register of the Research Data Portal for Health.

NutriScoPe

Project Name: Automated Diagnosis of Malnutrition (Nutricional Scoring) in Hospitalized Patients

Projekt Category: Data Use Project

Head of Project:

PD Dr. med. Haiko Schlögl (University of Leipzig Medical Center)

Duration and Status: 1.11.2024 – 31.10.2025, ongoing data use

Data Types Provided: diagnoses and procedures, etc.

Abstract:
The aim of this study is to determine the overall prevalence of malnutrition, its distribution across the various medical disciplines, as well as the impact that automated recording of malnutrition has on its treatment in the hospital and the resulting patient outcome. To this end, data from two university hospitals, Leipzig and Jena, will be examined as examples. A further aim is to form clusters of malnutrition in relation to the influences of main hospital diagnosis, medical department in which inpatient treatment takes place, age and gender and to investigate the resulting medical consequences in terms of treatment and therapy success.

Link: project description at the German Portal for Medical Research Data

PEDREF 2.0 – Rollout/DE

Project Name: Next-Generation Pediatric Reference Intervals – Rollout

Project Category: data use project

Head of Project:

PD Dr. med. habil. Jakob Zierk (Universitätsklinikum Erlangen)

Duration and Status: 15.8.2024 – 14.8.2028, ongoing data use

Data Types Provided: lab reports etc.

Abstract:
In this project, the MII Core Data Set will be evaluated multicentrically to determine specific reference intervals for preterm infants, to determine reference intervals for special examinations and to improve the accuracy of pediatric reference intervals. The determined reference intervals are used to implement modern strategies for the interpretation of laboratory tests in children. This involves the integration of clinical covariates and multiple laboratory test results (multidimensional classification) to predict relevant endpoints and to increase the clinical utility of laboratory diagnostics.

Link: PEDREF website

NUM-coverCHILD

Project Name: NUM-coverCHILD

Project Category: subproject of the Network of University Medicine

Heads of Project:

Prof. Dr. med. Ulrike Ravens-Sieberer (University Medical Center Hamburg-Eppendorf)
Dr. med. Annic Weyersberg (University Hospital Cologne)
Prof. Dr. med. Reinhard Berner (University Hospital Carl Gustav Carus Dresden)

Duration and Status: 1.8.2024 – 31.7.2027, ongoing data use

Data Types Provided: lab reports etc.

Abstract:
The NUM 2.0 sub-project coverCHILD (COVID-19 Research Infrastructure Platform for Children and Adolescents) deals with the unique situation of children, adolescents and their families in times of the COVID-19 pandemic and examines the effects of the pandemic on their physical and mental health. The aim is to gain a fundamental understanding of the mechanisms of resilience and vulnerability of children and young people in global and social crisis situations. The aim of coverCHILD is to investigate the particular manifestations of disease, vulnerabilities and consequences of the pandemic through an interdisciplinary research platform and thus create the basis for adequate and timely responses to future challenges.

Link: project description at the website of the Network of University Medicine

NUM Dashboard

Project Name: Cross-institutional Dashboard of the University Hospitals

Project Category: data use project

Heads of Project:

PD Dr. med. Sven Zenker (University Hospital Bonn)
Prof. Dr. André Scherag (for the Jena University Hospital)

Duration and Status: 27.1.2020 – 31.12.2022, data use ongoing

Data Types Provided: aggregated information on COVID-19 cases and further diseases

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. In the aftermath of the pandemic, the university hospitals continue to make cumulative data available to the public on a cross-site basis, including for the treatment of other diseases.

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: NUM Dashboard

RISK PRINCIPE

Project Name: RISK Prediction for Risk-stratified INfection Control and PrEvention

Project Category: use case of the Medical Informatics Initiative

Heads of Project:

Prof. Dr. med. Simone Scheithauer (University Medical Center Göttingen)
Prof. Dr. med. Mathias Pletz (Jena University Hospital)
Prof. Dr. André Scherag (Jena University Hospital)
Prof. Dr. med Dr.-Ing. Michael Marschollek (Hanover Medical School)

Duration and Status: 1.7.2023 – 30.6.2027, ongoing data use

Data Types Provided: microbiological diagnostic reports etc.

Abstract:
RISK PRINCIPE aims to develop and validate automated data collection for surveillance purposes and routine data-based risk prediction using the example of bloodstream infections with subsequent visualization for more effective and efficient infection prevention and control. RISK PRINCIPE can improve the quality of patient care by helping to identify high-risk areas and patients, reducing the time required for surveillance and increasing responsiveness. This will be tested using hospital onset bacteremia (HOBs) as an example. To achieve this goal, different data sources will be evaluated to create a risk profile, which will then be tested.

Link: project description at the website of the Medical Informatics Initiative

INTERPOLAR

Project Name: INTERventional POLypharmacy – drug interActions – Risks

Project Category: use case of the Medical Informatics Initiative

Heads of Project:

Prof. Dr. med. Markus Löffler (Leipzig University)
Prof. Dr. med. Renke Maas (Friedrich Alexander University Erlangen-Nuremberg)
Prof. Dr. André Scherag (Jena University Hospital)

Duration and Status: 1.1.2023 – 31.12.2026, ongoing data use

Data Types Provided: medication data etc.

Abstract:
The INTERPOLAR use case aims to use an algorithm to identify hospital patients who are at high risk of clinically relevant and manageable medication problems . This allows hospital pharmacists to focus on the patients who will benefit most from their assessment. Expertly selected risk triggers help hospital pharmacists identify patients at high risk for medication problems. This can speed up risk assessment in routine care and focus medication analysis on at-risk patients. Accompanying studies are expected to show that IT-assisted risk assessment significantly reduces the number of medication errors.

Finanzierung:
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: 01ZZ2320H.

Link: project description at the website of the Medical Informatics Initiative

WE-STORM

Project Name: Weather-based Stroke Event and Outcome Risk Modeling

Project Category: data use project

Heads of Project:

Dr. med. Máté E. Maros MSc (University Medical Centre Mannheim)
PD Dr. med. Florian Rakers (for the Jena University Hospital)

Duration and Status: 1.3.2022 – 30.11.2022, data use completed

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.

Link: project description at the German Portal for Medical Research Data

NT-proBNP

Project Name: NT-proBNP as a Marker in Atrial Fibrillation

Project Category: data use project

Heads of Project:

Prof. Dr. med. Markus Löffler (Leipzig University)
Prof. Dr. André Scherag (for the Jena University Hospital)

Duration and Status: 1.3.2022 – 31.8.2022, data use completed

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.

Link: project description at the German Portal for Medical Research Data

POLAR

Project Name: Polypharmacy – Drug Interactions – Risks

Project Category: use case of the Medical Informatics Initiative

Heads of Project:

Prof. Dr. med. Markus Löffler (Leipzig University)
Prof. Dr. André Scherag (Jena University Hospital)

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.

Link: description of the project at the website of the Medical Informatics Initiative

INDEED

Project Name: Usage and Cross-sectoral Patterns of Care of Patients in Emergency Care Structures in Germany

Project Category: multi-center research project

Heads of Project:

Dr. med. Martin Möckel (Charité Universitätsmedizin Berlin, for INDEED)
Felix Greiner, M.Sc. (Otto von Guericke University Magdeburg, for the support of the AKTIN model clinics)
Dr. med. Wilhelm Behringer (for the Jena University Hospital)
Dr. med. Martin J. Specht (for the Jena University Hospital)

Duration and Status: 1.5.2017 – 30.4.2020, data use completed

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

description of the project at the website of the Charité

MII Demonstrator Study

Project Name: Demonstrator Study of the Medical Informatics Initiative with Cross-consortium Evaluations of Multimorbidity and Rare Diseases in Inpatients and Day-care Patients in Germany in the Years 2015-2017

Project Category: data use project

Heads of Project:

Prof. Dr. med. Thomas Ganslandt (University Medical Center Mannheim, for the MII Demonstrator Study)
Prof. Dr. André Scherag (for the Jena University Hospital)

Duration and Status: 1.4.2018 – 28.2.2019, data use completed

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.

EMerGE-NeT

Project Name: Effectiveness of Infection Control Strategies against Intra- and Inter-hospital Transmission of MultidruG-resistant Enterobacteriaceae – Insights from a Multi-level Mathematical NeTwork model

Project Category: multi-center research project

Heads of Project:

Prof. Dr. med. Rafael Mikolajczyk (University Hospital Halle (Saale), for EMerGE-NeT)
Prof. Dr. André Scherag (Jena University Hospital)

Duration and Status: 1.6.2017 – 1.5.2020, data use completed

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

description of the project at the website of the BMBF

STAKI2B2

Project Name: Semantic Text Analysis for Quality-controlled Extraction of Clinical Phenotype Information in Healthcare-Integrated Biobanking

Project Category: local research project

Head of Project:

PD Dr. Dr. Michael Kiehntopf (Jena University Hospital)

Duration and Status: 1.1.2016 – 30.6.2020, data use completed

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

Link: description of the project at the DFG Website

HELP

Project Name: A Hospital-wide EMR-based Computerized Decision Support System to Improve Outcomes of Patients with Bloodstream Infections

Project Category: use case of the SMITH consortium

Heads of Project:

Prof. Dr. med. Mathias Pletz (Jena University Hospital)
Prof. Dr. André Scherag (Jena University Hospital)

Duration and Status: 1.1.2018 – 31.12.2022, data use completed

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.

Link: description of the project at the "Deutsches Register Klinischer Studien (DRKS)"

ASIC

Project Name: Algorithmic Surveillance of ICU Patients

Project Category: use case of the SMITH consortium

Heads of Project:

Prof. Dr. med. Gernot Marx, FRCA (Uniklinik RWTH Aachen, for ASIC)
PD Dr. med. Frank Bloos (for the Jena University Hospital)

Duration and Status: 1.1.2018 – 31.12.2022, data use completed

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.

Link: description of the project at the "Deutsches Register Klinischer Studien (DRKS)"

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