IDC – Information Driven Care
Healthcare is facing extensive challenges – an aging population, various chronic diseases, pandemics, changing patient expectations and limited resources. Information driven care addresses some of these challenges through a shift towards more proactive, predictive, accurate, participatory, innovative and democratised healthcare.
The programme takes a broad approach to examine and develop information driven care solutions in healthcare, including for example decision support systems in clinical practice.
The programme takes a broad approach to develop and research information driven care solutions, for example decision support systems in clinical practice. This will require building up knowledge about the whole healthcare innovation chain, from formulating and prioritizing questions, to data collection, to algorithms, to engagement, to explainability, to innovation, diffusion, and implementation in practice. The programme has a multidisciplinary approach and addresses challenges related to the complexity of developing information driven healthcare solutions, particularly in terms of AI systems, data, implementation and innovation challenges.
IDC:s upcoming activities
Don’t miss out on what’s going on in IDC! Take part of upcoming activities here.
Researchers from IDC participates and contributes at Vitalis External link. on May 13–16 and on and Global Conference on Person-Centred Care (GCPCC) External link. on May 14–16.
Research ambitions
The overall ambitions of the program are:
- To further develop a multidisciplinary information driven care research environment, strengthening and integrating the disciplines of AI and machine learning, data infrastructure, implementation research and innovation science. A research environment which promotes career development in the field and provides equal opportunities to people of all genders and ethnicities.
- To further strengthen long-term collaborations and co-production with leading national and international universities, companies and public sector in the field of information driven care. A research environment which has an established model for how industry and public partners can collaborate to create and implement AI systems for sustainable adoption and diffusion as part of long-term efforts to improve healthcare and health outcomes.
- To continue developing a strong academic position (including research, education and collaboration) and add value to society. A research environment that addresses complex research questions from multi-disciplinary perspectives and provides excellent research and education that is practically useful and contributes to new understandings, knowledge and innovations. The research environment should be characterized by high specialization in information driven care and high impact.
Connection to focus area
Personalized proactive care is one of two directions for the health innovation focus area. In this, implementation of information driven care constitutes a substantial part. This research program aims to continue developing this direction and contribute to the strategic goals of the focus area. This involves for example to position the research area nationally and internationally and to perform collaborative research that makes an impact in society. The research program will contribute to the goals set out in the focus area strategy.
Three integrating research fields
AI and machine learning research
The AI and machine learning research is tightly connected to challenges of working with applications and data from healthcare. It involves pure algorithmic developments as well as specific solutions developed for a single application.
Implementation research
The research within healthcare implementation focuses on questions on how health innovations, such as interventions supported by digital services and health data, can be developed, implemented and evaluated to provide healthcare organizations with knowledge and support to achieve high quality of care and improved health outcomes for particular groups.
Innovation research
The research within innovation science is tightly connected to challenges working with healthcare innovation from the perspective of firms and healthcare organizations.
What’s new?
Previous news
Turning data into better healthcare
AI-podden with Kobra Etminani, Associate Professor at Halmstad University External link.
Läkartidningen: Halmstad invests in research on AI in healthcare (in Swedish) External link.
Pontus Wärneståls presentation from VIDA-dagarna at H22 External link.
Halmstad University establishes research programme in information-driven care
Forskningsprogrammet IDC at Vitalis and Medical Informatics Europe
National project within information-driven care is coordinated by Halmstad University
Participating researchers
School of Business, Innovation and Sustainability
- Svante Andersson, Professor
- Magnus Holmén, Professor
- Jeaneth Johansson, Professor
- Ulf Aagerup, Senior Lecturer
- Henrik Barth, Senior Lecturer
- Fábio Gama, Senior Lecturer
- Siri Jagstedt, Senior Lecturer
- Hélène Laurell, Senior Lecturer
- Ludvig Lindlöf, Senior Lecturer
- Lina Lundgren, Senior Lecturer
- Rögnvaldur Saemundsson, Senior Lecturer
- Patrik Hidefjäll, Adjunct Senior Lecturer
- Luís Irgang Dos Santos, PhD Student
- Manoella Ramos da Silva, PhD Student
School of Health and Welfare
- Jens Nygren, Professor
- Petra Svedberg, Professor
- James Barlow, Visiting Professor
- Carl Macrae, Visiting Professor
- Per Nilsen, Professor
- Julie Reed, Visiting Professor
- Margit Neher, Assistant Professor
- Katarina Aili, Senior Lecturer
- Ing-Marie Carlsson, Senior Lecturer
- Carina Göransson, Senior Lecturer
- Jan Karlsson, Senior Lecturer
- Ingrid Larsson, Senior Lecturer
- Annelie Lindholm, Senior Lecturer
- Lena Petersson, Senior Lecturer
- Carl Savage, Visiting Senior Lecturer
- Pia Johansson, Associate Senior Lecturer
- Julia Malmborg Söderström, Associate Senior Lecturer
- Daniel Tyskbo, Associate Senior Lecturer
- Monica Nair, Postdoctoral Position
- Hassan Auf, PhD Student
- Maria Lönn, PhD Student
- Emilie Steerling, PhD student
- Britta Teleman, PhD student
School of Information Technology
- Slawomir Nowaczyk, Professor
- Mattias Ohlsson, Professor
- Markus Lingman, Adjunct Professor
- Torkel Strömsten, Visiting Professor
- Stefan Byttner, Senior Lecturer
- Kobra Etminani, Senior Lecturer
- Susanne Lindberg, Senior Lecturer
- Jens Lundström, Senior Lecturer
- Pontus Wärnestål, Senior Lecturer
- Dimitrios Gkouskos, Associate Senior Lecturer
- Amira Soliman, Associate Senior Lecturer
- Awais Ashfaq, Postdoctoral Position
- Ece Calikus, Postdoctoral Position
- Anna Zukowicka-Surma, Postdoctoral Position
- Oliver Weberg, Lecturer
- Arash Ghareh Baghi, Researcher
- Ali Amirahmadi, PhD Student
- Emmanuella Budu, PhD Student
- Alexander Galozy, PhD Student
- Omar Hamed, Research Engineer
- Johannes Van Esch, Research Engineer
Ongoing projects
AI centered projects
- AIR Lund
- EDIH - Health Data Sweden
- HaRP – Heart failure Readmission Prediction
- IDC through AI Application External link.
- Improved preparedness for future pandemics
- PadAI – AI for better mental health in young people
- Prevention 360
- Test Bed Sweden for Precision Health in Cancer
- VAAT: Validating the quality and the performance of AI-assisted triage and diagnostic tools
Implementation projects
- Covid-19 – symptoms and immunity
- Digital anamnes and triage in primary care
- Framework development for AI implementation in healthcare
- ID Wound Care
- Implementation of information-driven healthcare through AI application
- AIM2
- Mental health in young adult cancer survivors
- SLEEP – Sleep intervention for children and adolescents with neuropsychiatric disabilities
- Social capital for identification and support of young people's mental health
- Understanding health innovation in practice
- UserInvolve: Developing sustainable user involvement practices in community mental health
- V3C – Value creating continence care (only in Swedish)
- Youth participation in healthcare
- Young people’s mental health, social capital and help-seeking behaviour
Innovation projects
- Approaches to evaluating implementation of health innovations
- Automatic Idea Detection: Implementing artificial intelligence in medical technology innovation (AID)
- BINECO – Business Models for Information-driven Healthcare Ecosystems
- ICHSI – Institutionellt entreprenörskap och utveckling i samverkan av företag i hälsosektorn på internationella marknader (only in Swedish)
- MeTARoad – Accelerating the roadmap for commercializing and adopting medical technology innovations – the role of different actors’ logics in a health innovation ecosystem
HISS2024 – Health Innovation Summer School
Halmstad University invites doctoral students to the Health Innovation Summer School (HISS2024) in Halmstad, Sweden, on August 19–23, 2024.
This years summer school is called “Artificial Intelligence, innovation and implementation – enhancing healthcare ecosystems through information driven care“ and aims to support doctoral students understand artificial intelligence’s (AI) potential to improve healthcare ecosystems. Topics covered will enable students to think strategically with multidisciplinary knowledge on information driven care, connecting the fields of AI and machine learning (ML), innovation and implementation.