Care- AI Network Project

  • Skjødt, Ulla (Projektleder)
  • Bagger, Bettan (Projektdeltager)
  • Lindegaard, Karen (Projektleder)
  • Prange, Michael (Projektleder)
  • Ripken, Johannes (Projektdeltager)
  • Tucker, Thomas (Projektdeltager)

Projektdetaljer

Beskrivelse

Care-AI
Digitalisation and artificial intelligence offer promising opportunities for a better quality of elderly care. Join the interdisciplinary network between German and Danish partners! Share knowledge, identify future needs and search for decision support solutions related to digitalisation and artificial intelligence in elderly care.

Digitalisation is high on the political agenda in the EU. The technological development in artificial intelligence (AI) and data processing creates new opportunities for better and more resource-efficient solutions and services. Not least in the elderly care sector, where an increasing number of older people and a decreasing labour force put massive pressure on the sector.

The Care-AI network project promotes this development by establishing a sustainable, interdisciplinary network across the German-Danish border. The network invites research institutions, elderly care organisations, companies, and other relevant stakeholders to participate and share and co-create knowledge, ideas and experiences about digital solutions and AI focusing on elderly care.

The cross-border network collaboration will identify current, urgent and potential future needs and challenges related to the digitalisation of elderly care to increase its quality. Moreover, the Care-AI network project provides the opportunity to strengthen partnerships and develop new projects ideas for demand-driven AI solutions.

The goal is to create a foundation for a large lighthouse project idea, which expands the innovative German-Danish cross-border collaboration and increases the international awareness towards actual and coming needs and challenges in the elderly care sector that could be met using AI.

Activities in the project
• 4 network partner workshops to identify shared future needs, challenges and
use cases
• 9 working group meetings to analyse data and following-up on workshops
and develop an idea for a lighthouse Care-AI project
• 1 conference to present the findings and results from the project

The project's value proposition
• Participate in an interdisciplinary cross-border network
• Get in touch with and inspired by significant players within AI and elderly
care
• Gain insights into shared needs and challenges concerning digitalisation
issues in elderly care
• Win knowledge of opportunities and challenges in cross-border cooperation
• Understand different structures, strategies and working methods in Germany
and Denmark

The project's target group
Care-AI addresses eldercare organisations, companies that work with artificial intelligence and digitalisation, and research institutions with expertise and knowledge of the future requirements in the elderly care sector.

Builds on regional strongholds
Care-AI network project builds on strong German and Danish strengths within digitalisation, artificial intelligence and experiences with digital decision-making support in the elderly care sector.

Denmark is one of the most digitalised countries in the world – not least in the healthcare sector, including elderly care. Documentation systems ensure quality, safety and efficiency, data-driven decision-making supports healthcare professionals, and digital assistive technologies make citizens more self-reliant.

Germany has strong knowledge and relevant players in business and research in digitalisation and AI. Especially in the medical sector, the northern German Kiel-Lübeck area stands out, which will essentially contribute to this Care-AI network project. Still the German healthcare sector is one of the least digitalised in Europe. However, strong political backing and the Covid-19 pandemic have thrown Germany into major investment programs to digitalise the healthcare system. Numerous reforms enable the digital transformation of the German healthcare system and lead to new methods for a better quality of elderly care.

Combined, the experience and knowledge in Germany and Denmark is a stronghold to fulfil the potential for increased use of data-driven solutions in the elderly care sector and pave the way for better, dignified and personalised care.
Lead-partner
• University College Absalon
Project partners
• Danish Life Science Cluster
• Kiel University of Applied Sciences
• DiWISH Digitale Wirtschaft Schleswig-Holstein
• PCT digital GmbH
• PCT digital GmbH
AkronymCare-AI
StatusIgangværende
Effektiv start/slut dato01/10/2130/06/22

Emneord

  • Informations- og kommunikationsteknologi, og e-læring
  • Artificial intelligence in elderly care
  • Sygdom, sundhedsvidenskab og sygepleje
  • Elderly care sector
  • Healthcare
  • AI - decisionssupport