News

Wissenswertes zur aktuellen Pflege- und Gesundheitsforschung am IPP

Posterwalk zur Diskussion der neuen Toolbox des Projekts DIVERGesTOOL© DIVERGesTOOL, Foto von Anna Eickenberg
BMG-gefördertes Projekt DIVERGesTOOL stellt Forschenden Handreichung für Datenerhebung zur Verfügung

klimwandel_ausgetrockneter_boden© AOK Mediendienst
Engagement im Themenfeld Klimawandel und Gesundheit soll verstärkt werden

Prof. Dr. Karin Bammann© Jenny Peplies
Ceremonial presentation of the certificate at the meeting of the departmental council of FB 11

Dr. Karin Bammann has been awarded the title of Professor by the Rector of the University of Bremen. The certificate was ceremoniously handed over by the Dean Prof. Dr. Ingrid Darmann-Fink at the meeting of the Faculty Council of FB 11 on 12.07.2023. Karin Bammann has been a Senior Researcher at Faculty 11, University of Bremen and a member of the Institute for Public Health and Nursing Research (IPP) since 2011. In 2017, she received the Venia Legendi for the subject Epidemiology. She is spokesperson of the WG Epidemiology of Demographic Change of the IPP.

Karin Bammann has many years of expertise in planning and conducting large national and international public health studies with a focus on critical life phases. Among others, she was a member of the steering committee of the BMBF-funded project AEQUIPA Primary Prevention for Healthy Aging, where she conducted a cluster randomized trial of a participatory community-based complex intervention. She was also a steering committee member and International Scientific Mana-ger of a large EU-funded multicenter intervention study on lifestyle-related diseases in children. She is currently testing the Australian concept of Men's Sheds in a German context in a cooperative project with the Landesvereinigung für Gesundheit. 

Karin Bammann is internationally active as an editor of journals (PLOS One, BMC Public Health) and as an evaluator (e.g. project evaluations in EU programs). The focus of her scientific work is the inclusion of the perspective and expertise of people in their living environment and the reduction of health inequalities in the population. One focus of her research is on methods of biostatistics, epidemiology and empirical social research; she represents these areas in teaching in the Bachelor's program in Public Health and in the Master's program in Epidemiology at the University of Bremen.

An overview of her publications can be found at:

Karin Bammann (0000-0002-5623-8160) - ORCID

Contact:

Prof. Dr. Karin Bammann

WG Epidemiology of Demographic Change

Institute for Public Health and Nursing Research

University of Bremen

bammann@uni-bremen.de

https://www.ipp.uni-bremen.de/departments/working-group-epidemiology-of-demographic-change/en/

Prof. Dr. Karin Wolf-Ostermann, expert in nursing care research© Karin Wolf-Ostermann / Universität Bremen
Expert of the Institute for Public Health and Nursing Research (IPP) and Head of Nursing Care Research on the use of AI in nursing - Interview with Joachim Ott, MEDICA

The use of artificial intelligence (AI) can relieve the burden on healthcare workers and improve patient care. AI does not solve all problems, it is only one of the tools that can be used to meaningfully improve care in certain areas and it needs ethical standards. A survey of health professionals in the medical and nursing fields by the 'Platform for Learning Systems' found that employees are open-minded, but demand changes in their daily work. Prof. Karin Wolf-Ostermann from IPP Bremen is co-author of the white paper resulting from the survey. In an interview with MEDICA.de, she talks about the prerequisites and possibilities of AI in healthcare. Especially in long-term care, little of new technologies has yet arrived in everyday care. Many studies deal with alarm management, fall detection, pain assessment, documentation and duty scheduling. In nursing, however, the lack of a digital infrastructure and the availability of high-quality data is often still a struggle. Especially the individualisation of AI decisions is dependent on a good data situation. It is also essential that the skills for dealing with AI systems are further developed and that the new technologies can be integrated into existing structures and work processes. A high level of user-friendliness is essential for success in practice.

Contact:

Prof. Dr. Karin Wolf-Ostermann

University of Bremen

Faculty 11 Human and Health Sciences

Institute of Public Health und Nursing Research

Department Healthcare research

Mail: wolf-ostermann@uni-bremen.de

www.ipp.uni-bremen.de/en