Data Management and Analysis for Health Services Research Information and data on health treatment processes, specific treatments, diseases and the individual´s perception of health as well as medical conditions do not only support health care for the individual but, as a collection of data, also contribute to gathering and verifying existing knowledge on how to improve health care for the general public within the scope of health services research.
So for example, heterogeneous data is to be gathered from different data sources, formatted, presented, and evaluated for a comprehensive cancer register. Thereby, a particular role is played by the geographical reference of the data and the possibility to spontaneously phrase and execute analyses if necessary. For this reason, OFFIS develops data-security-compliant basic technologies for the integration, quality management, and further explorative analysis of data, and converts these into concrete application projects for care research – but equally for usage outside of health care. The search in unstructured, often medial data, that plays an important role especially for personal assistance functions in daily life, becomes more important.
Our main topics
The group "Data Management and Analysis for Health Serbvices Research" deals with the following main topics in research and service projects:
Within the health services research, data collections can be used to gain new and review existing knowledge to improve health care for the general public. Information and data on treatment processes, specific treatments... Further information
Information Logistics
The provision of infrastructures for integrated information logistics on the basis of data warehousing and semantic retrieval technologies... Further information
Analytical Applications
The development of high-performance analytical procedures and application systems for the evaluation of integrated data sets... Further information
Data Protection & Data Security
Answering organisational and legal questions on data protection, data security and data ownership concepts when using sensitive data... Further information
Persons 
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Projects
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CARESS
CARESS Clinical and Epidemiological Cancer Data Warehouse System and Tooling
Duration: 1995 - open I
INDEED
Inanspruchnahme und sektorenübergreifende Versorgungsmuster von Patienten in Notfallversorgungsstrukturen in Deutschland (sorry, only available in German)
Duration: 2017 - 2021L
LZG.NRW
Automatisierte Gesundheitsberichterstattung und Überwachung meldepflichtiger Infektionskrankheiten
Duration: 2002 - openM
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Stroke OWL
Sektorübergreifend organisiertes Versorgungsmanagement komplexer chronischer Erkrankungen am Beispiel Schlaganfall durch Schlaganfall-Lotsen in der Pilotregion Ostwestfalen-Lippe (sorry, only available in German)
Duration: 2017 - 2021 Publications
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
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
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
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
Designing a New Puzzle App to Target Dyslexia Screening in Pre-Readers
Rauschenberger, Maria and Lins, Christian and Rousselle, Noelle and Hein, Andreas and Fudickar, Sebastian; Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good; 2019
Digitalisierte Bevölkerungsprognosen im Raster
Specht, Sebastian; Kramer, Bernd; Innovative Verwaltung; 11 / 2019
Entwicklung von Datenschutzkonzepten zur Verknüpfung von Routinedaten aus Notaufnahmen mit Routinedaten der Kassenärztlichen Vereinigungen (KVen) im INDEED-Projekt
Bethge, Nicole and Fischer-Rosinský, Antje and Zimmermann, Grit and Schneider, Tim and Greiner, Felix and Roll, Stephanie and Reinhold, Thomas and Kreye, Björn and Lüpkes, Christian and Kiebitz, Andreas and Rosenbusch, Marie-Luise and Schreiber, Daniel and Keil, Thomas and Slagman, Anna and Röhrig, Rainer and Drepper, Johannes and Möckel, Martin; 18. Deutscher Kongress für Versorgungsforschung (DKVF); 2019
Kleinräumige Bevölkerungsdaten und -prognosen im Raster für die Praxis interkommunaler Kooperation
Specht, Sebastian; Intergeo 2019 / 67. Deutscher Kartographie Kongress.; 9 / 2019
Privacy by Design for Integrated Case and Care Management: Receiver-Oriented Encryption in STROKE OWL
Timo Michelsen and Christian Lins and Stefan Gudenkauf and Andreas Hein and Christian Lüpkes; ICT for Health Science Research - Proceedings of the EFMI 2019 Special Topic Conference - 7-10 April 2019, Hanover, Germany; 2019
Prognosen im Bevölkerungsraster für die interkommunale Kooperation – ein Experiment im Reallabor
Specht, Sebastian; Blohm, Kolja; Handtke, Thomas; Wette, Laura; AGIT - Journal für Angewandte Geoinformatik; 7 / 2019
