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In the eHealth @ Hospital 2- Home study we have asked two different patient populations and two different clinical groups to help us in exploring how a remote patient monitoring intervention with additional nurse support might alter people’s self-care abilities after a hospitalisation.
What ethical challenges can arise when implementing technological solutions in healthcare services? The research group E-DigiCare aims to explore the ethical aspects and consequences of developing and implementing digital health and healthcare services.
This research groups mission is to promote a sense of mattering and belonging where people can connect to a sense of meaning and purpose in ways that also contribute to the common good at a societal and global level.
The use of digital apps and wearables to track our health information is on the rise. Thus, eHealth is a resource that may promote health management and patient engagement.
A new study describes important aspects in the development of a digital follow-up service for patients in need of long-term follow-up in the specialist healthcare service.
At the Stavanger Baby and Child Lab, within the Department of Social Studies at UiS, we investigate how infants and toddlers develop their understanding of the (social) world.
This review suggests that patients with heart failure should receive prompt follow-up after hospitalization, and eHealth interventions have the potential to improve their quality of life.
Future Literacy Lab on digital healthcare was carried out on 8 October 2021 in collaboration between NIFU and UiS as a part of the research project “Releasing the power of users: articulating user interest to accelerate new innovative pathways in the digital health and welfare sector”.
The NewbornTime project aims to improve newborn care using artificial intelligence (AI) for activity and event recognition taken from videos in the time both during and immediately after birth.
The NewbornTime project is about improved newborn care by using artificial intelligence (AI) for activity and event recognition in video from the time during and after birth.
The project shall improve the quality and internationalization of education in social work and sociology at the partner institutions, through student and staff mobility between Cuba and Norway in both directions.
We aim to answer following RQ: How to enable the eco-system to ensure diffusion of responsible digital innovations in welfare sector?
We aim to answer following RQ: How to create a boundary innovation space to activate user driven or user-inspired innovations?
We aim to answer following RQ: What are attitudes, concerns and expectations of users in relation to welfare technology?
The Pumps and Pipes initiative fosters collaboration and transfer of knowledge between oil and gas and the health sector.
This research program area is aimed at preparing better graduate and postgraduate candidates.
By developing a new joint curriculum of PhD courses, candidates will be better equipped in areas of innovation and science.
A project focusing on the health care sector and how to amplify the voice of the users when applying digital technology.
Look to Scandinavia – the museum of the good parts of the capitalism, says Vegard Bye in this interview by Siv Oltedal.
Be inspired by MFamily PhD stories from the Netherlands, Norway and Northern Ireland!
Colab is a group of researchers exploring challenges related to poor mental health among criminals and prison inmates, something that might affect social security and the risk of new crimes.
Societal changes requires adapting welfare services and updated knowledge. The researchers at UiS are exploring several issues related to Nav, mental health, prison care and child welfare, among other things.
The research project Caring Futures: Developing Care Ethics for Technology-Mediated Care Practices will further develop care ethics in an increasingly technological health and welfare sector.
At BMDLab we deal with biomedical data analysis and medical applications. We employ signal- and image processing, machine learning, artificial intelligence and statistical analysis.
We develop knowledge that examines the effect of digital learning resources and simulation on quality and competence in health education and clinical practice.