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Author

  • Hübner, Ursula (22)
  • Sellemann, Björn (22)
  • Flemming, Daniel (6)
  • Hüsers, Jens (6)
  • Vogel, Stefan (6)
  • Wache, Stefanie (6)
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Evaluation of a Clinical Decision Support System in the Domain of Chronic Wound Management (2021)
Vogel, Stefan ; Richter, Jendrik ; Wache, Stefanie ; Pischek-Koch, Kerstin ; Auchter, Simon ; Zebbities, Sebastian ; Güttler, Karen ; Hübner, Ursula ; Pryzsucha, Mareike ; Hüsers, Jens ; Sellemann, Björn
The PosiThera project focuses on the management of chronic wounds, which is multi-professional and multi-disciplinary. For this context, a software prototype was developed in the project, which is intended to support medical and nursing staff with the assistance of artificial intelligence. In accordance with the user-centred design, national workshops were held at the beginning of the project with the involvement of domain experts in wound care in order to identify requirements and use cases of IT systems in wound care, with a focus on AI. In this study, the focus was on involving nursing and nursing science staff in testing the software prototype to gain insights into its functionality and usability. The overarching goal of the iterative testing and adaptation process is to further develop the prototype in a way that is close to care.
Implementation and Analysis of Two Knowledge Base Approaches for the Treatment of Chronic Wounds (2020)
Vogel, Stefan ; Richter, Jendrik ; Pischek-Koch, Kerstin ; Wache, Stefanie ; Auchter, Simon ; Zebbities, Sebastian ; Güttler, Karen ; Hübner, Ursula ; Przysucha, Mareike ; Hüsers, Jens ; Sellemann, Björn
Decision support use cases for the treatment of patients with chronic wounds (2018)
Vogel, Stefan ; Przysucha, Mareike ; Wache, Stefanie ; Hüsers, Jens ; Hübner, Ursula ; Sellemann, Björn
KI in der Pflege (2021)
Vogel, Stefan ; Hüsers, Jens ; Sellemann, Björn ; Wache, Stefanie ; Pischek-Koch, Kerstin ; Richter, Jendrik ; Hübner, Ursula ; Przysucha, Mareike
Nursing Routine Data as a Basis for Association Analysis in the Domain of Nursing Knowledge (2012)
Sellemann, Björn ; Stausberg, Jürgen ; Hübner, Ursula
This paper describes the data mining method of association analysis within the framework of Knowledge Discovery in Databases (KDD) with the aim to identify standard patterns of nursing care. The approach is application-oriented and used on nursing routine data of the method LEP nursing 2. The increasing use of information technology in hospitals, especially of nursing information systems, requires the storage of large data sets, which hitherto have not always been analyzed adequately. Three association analyses for the days of admission, surgery and discharge, have been performed. The results of almost 1.5 million generated association rules indicate that it is valid to apply association analysis to nursing routine data. All rules are semantically trivial, since they reflect existing knowledge from the domain of nursing. This may be due either to the method LEP Nursing 2, or to the nursing activities themselves. Nonetheless, association analysis may in future become a useful analytical tool on the basis of structured nursing routine data.
Erprobung des ePflegeberichts als Proof-of-Concept-System der elektronischen Patientenakte gemäß § 291a SGB V in der Region Osnabrück (2014)
Sellemann, Björn ; Schulte, Georg ; Egbert, Nicole ; Hübner, Ursula ; Rienhoff, Otto
Krankenhausinformationssysteme in der Übersicht (2005)
Sellemann, Björn ; Hübner, Ursula
Suchst Du noch oder findest Du schon? Literaturrecherche & -verwaltung im Kontext von Stud.IP (2008)
Sellemann, Björn ; Hübner, Ursula
Verbreitung von Informationssystemen in der Pflege (2010)
Sellemann, Björn ; Flemming, Daniel ; Hübner, Ursula
Evaluation einer elektronisch unterstützten pflegerischen Überleitung zwischen Krankenhaus und Pflegeheim unter Nutzung einer Test-Telematikinfrastruktur: eine Fallanalyse (2017)
Schulte, Georg ; Hübner, Ursula ; Rienhoff, Otto ; Quade, Matthias ; Rottmann, Thorsten ; Fenske, Matthias ; Egbert, Nicole ; Kuhlisch, Raik ; Sellemann, Björn
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