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  1. Home
  2. Applications
  3. Health
  4. Data Management and Analysis for Health Services Research
  5. Information Logistics

Information Logistics Infrastructure for data and information logistics

The integration of data from heterogeneous data sources into a data warehouse requires flexible concepts and technologies for efficient data integration and data quality management, e.g. with regard to dealing with qualitative shortcomings of the data such as inconsistencies, redundancy and incompleteness. In addition to data warehouse technologies as the basis for the information logistics infrastructure, technologies of semantic retrieval for obtaining structured information from images, websites and other sources are also included. The G-DMA Group has many years of experience in dealing with basic technologies for building needs-oriented infrastructures in the health sector. In cooperation with the Department of Information Systems at the University of Oldenburg, research is being conducted into how data stream management technologies can be adequately applied to evaluate the increasing amount of data generated by sensors - e.g. in the context of Ambient Assistant Living (AAL). Due to the high data rates and the non-persistent data stream content, the use of classic DBMS and DWH technologies is often impossible. Especially the DQM for data streams or the modeling of DQM requirements for a proactive DQM require new concepts.

  • Data Management and Analysis for Health Services Research
    • Health Services Research
    • Information Logistics
    • Analytical Applications
    • Data Protection & Data Security
  • Automation and Integration Technology
  • Assistive Technologies for Care and Health Professionals
  • Biomedical Devices and Systems

Persons

B

Kolja Blohm

E-Mail: kolja.blohm(at)offis.de, Phone: +49 441 9722-461, Room: U22

D

Dr.-Ing. Klaas Dählmann

E-Mail: klaas.daehlmann(at)offis.de, Phone: +49 441 9722-290, Room: U24

K

Thorben Kloppe

E-Mail: thorben.kloppe(at)offis.de, Phone: +49 441 9722-711, Room: U24

David Korfkamp

E-Mail: david.korfkamp(at)offis.de, Phone: +49 441 9722-346, Room: U22

L

Niklas Labitzke

E-Mail: niklas.labitzke(at)offis.de, Phone: +49 441 9722-587, Room: U24

Dr.-Ing. Christian Lüpkes

E-Mail: christian.luepkes(at)offis.de, Phone: +49 441 9722-134, Room: E45

R

Martin Rohde

E-Mail: martin.rohde(at)offis.de, Phone: +49 441 9722-140, Room: U25

S

Sebastian Specht

E-Mail: sebastian.specht(at)offis.de, Phone: +49 441 9722-700, Room: U31

W

Timo Wolters

E-Mail: timo.wolters(at)offis.de, Phone: +49 441 9722-724, Room: U23

Projects

C

CARESS

CARESS Clinical and Epidemiological Cancer Data Warehouse System and Tooling

Duration: 1995 - open

CARESS@RKI

Analytisches Informationssystem für Krebsregisterdaten

Duration: 2011 - open

CARLOS

Cancer Registry Lower-Saxony

Duration: 1999 - open

L

LIA.NRW

Observatorium der Gesundheitsrisiken

Duration: 2011 - open

LZG.NRW

Automatisierte Gesundheitsberichterstattung und Überwachung meldepflichtiger Infektionskrankheiten

Duration: 2002 - open

M

MUSTANG

Multidimensional Statistical Data Analysis Engine

Duration: 2003 - open

S

SePaMiM

Sequential Pattern Mining und Pattern Matching von Krankheits- und Behandlungsverläufen für klinische Krebsregister

Duration: 2021 - 2024

Publications

2021

A Mobile Application for Documentation and Guiding of Stroke Patients – The LotsenApp

Christian Lüpkes, Timo Wolters, Andreas Hein; 7 / 2021

URL BIB
Der Weg zu Routinedaten aus 16 Notaufnahmen für die sektorenübergreifende Versorgungsforschung

Antje Fischer-Rosinský, Anna Slagman, Ryan King, Grit Zimmermann, Johannes Drepper, Dominik Brammen, Christian Lüpkes, Thomas Reinhold, Stephanie Roll, Thomas Keil, Martin Möckel, Felix Greiner und INDEED-Projekt; Medizinische Klinik - Intensivmedizin und Notfallmedizin; 10 / 2021

DOI BIB
Großer Schaden im kleinen Kästchen?

Hein, Andreas; Lüpkes, Christian; Specht, Sebastian; RaumPlanung - Fachzeitschrift für räumliche Planung und Forschung; 1 / 2021

URL BIB
INDEED–Utilization and Cross-Sectoral Patterns of Care for Patients Admitted to Emergency Departments in Germany: Rationale and Study Design

Fischer-Rosinský, Antje and Slagman, Anna and King, Ryan and Reinhold, Thomas and Schenk, Liane and Greiner, Felix and von Stillfried, Dominik and Zimmermann, Grit and Lüpkes, Christian and Günster, Christian and Baier, Natalie and Henschke, Cornelia and Roll, Stephanie and Keil, Thomas and Möckel, Martin; Frontiers in Public Health; 2021

DOI BIB

2020

Data validation for healthcare cost analysis in STROKE OWL

Timo Wolters and Timo Michelsen and Christian Lüpkes and Andreas Hein; GMS Medical Informatics Biometry Epidemiology (MIBE); August / 2020

URL DOI BIB
Demografie-Toolbox - Neuartige digitale Werkzeuge für die Gewinnung und Auswertung kleinräumiger demografischer Daten

Kramer, Bernd / Wette, Laura / Specht, Sebastian / Handke, Thomas; 2020

URL BIB
Detail or Disclosure – Towards a Visualisation of Confidentiality Related Spatial Damage to Demographic Grids

Specht, S. and Kramer, B.; Abstracts of the ICA; 2020

URL DOI BIB
Generation of Fine Grained Demographic Information for Epidemiological Analysis

Timo Wolters and Oke Wübbenhorst and Christian Lüpkes and Andreas Hein; Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28 - May 1, 2020 [conference cancelled because of Covid-19]; 2020

URL DOI BIB
Practical Implementation of Receiver-Oriented Encryption in STROKE OWL

Timo Michelsen and Christian Lins and Andreas Hein and Christian Lüpkes; Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28 - May 1, 2020; 2020

DOI BIB

2019

Cardiopulmonary resuscitation quality parameters from motion capture data using Differential Evolution fitting of sinusoids

Lins, Christian and Eckhoff, Daniel and Klausen, Andreas and Hellmers, Sandra and Hein, Andreas and Fudickar, Sebastian; Applied Soft Computing; 06 / 2019

URL DOI BIB
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