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.
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Dr.-Ing. Christian Lüpkes
E-Mail: christian.luepkes(at)offis.de, Phone: +49 441 9722-134, Room: E 45
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Publications
2018
A Wearable Vibrotactile Interface for Unfavorable Posture Awareness Warning
Christian Lins and Sebastian Fudickar and Alexander Gerka and Andreas Hein; Proceedings of the 4th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE,; 2018
Analyse von Versorgungsprozessen in Wohngemeinschaften für Menschen mit eingeschränkter Alltagskompentenz
Alexander Gerka, Simon Remy, Christian Lins, Christian Lüpkes, Andreas Hein; 17. Deutscher Kongress für Versorgungsforschung; 10 / 2018
Determining Cardiopulmonary Resuscitation Parameters with Differential Evolution Optimization of Sinusoidal Curves
Christian Lins and Andreas Klausen and Sebastian Fudickar and Sandra Hellmers and Myriam Lipprandt and Rainer Röhrig and Andreas Hein; Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: AI4Health,; 2018
Enhancing Safety of Artificially Ventilated Patients using Ambient Process Analysis
Lins, Christian and Gerka, Alexander and Lüpkes, Christian and Röhrig, Rainer; Medical Informatics Europe (MIE2018); 2018
Gewährleistung von Datenqualität bei Datentriangulation mit Patientendaten
Timo Michelsen, Lars Rölker-Denker, Christian Lüpkes, Andreas Hein, ; Deutscher Kongress für Versorgungsforschung; 10 / 2018
R-Visualisierungen auf Krebsdaten mit CARESS 9
David Korfkamp, Kolja Blohm, Christian Lüpkes, Andreas Hein; 63. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS); September / 2018
Requirements for Ambient Sensors that Enhance the Safety of Artificially Ventilated Patients
Alexander Gerka, Christian Lins, Christian Lüpkes, Myriam Lipprandt and Andreas Hein ; Zukunft der Pflege Tagungsband der 1. Clusterkonferenz 2018 Innovative Technologien für die Pflege; 06 / 2018
Sektorenübergreifende Verknüpfung von Daten aus Notaufnahmen mit Daten aus der kassenärztlichen Versorgung: Datenschutz im Projekt INDEED
Felix Greiner, Antje Fischer-Rosinský, Grit Ebert, Burgi Riens, Björn Kreye, Christian Lüpkes, Sebastian Straub , Michael Erhart , Thomas Keil , Anna Christine Slagman , Martin Möckel ; 09 / 2018
Unsupervised Temporal Segmentation of Skeletal Motion Data using Joint Distance Representation
Christian Lins and Sebastian M. Müller and Max Pfingsthorn and Marco Eichelberg and Alexander Gerka and Andreas Hein; Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF,; 2018
Verarbeitung und Analyse von Notaufnahme- und KV-Daten im Projekt INDEED - Record-Linkage anhand pseudonymisierter Behandlungs- und Abrechnungsdaten aus Notaufnahmen und KVen.
Björn Kreye, Grit Ebert, Antje Fischer-Rosinský, Thomas Keil, Martin Möckel, Rainer Röhrig, Christian Lüpkes; Verarbeitung und Analyse von Notaufnahme- und KV-Daten im Projekt INDEED - Record-Linkage anhand pseudonymisierter Behandlungs- und Abrechnungsdaten aus Notaufnahmen und KVen.; September / 2018
