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.
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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.
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 programme will contribute to the goals set out in the focus area strategy.
Research ambitions and research fields
The overall ambitions of the programme 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 characterised by high specialisation in information driven care and high impact.
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.
Participating researchers
School of Business, Innovation and Sustainability
- Magnus Holmén, Professor
- Jeaneth Johansson, Professor
- Svante Andersson, Professor
- James Barlow, Visiting Professor
- Fábio Gama, Senior Lecturer
- Hélène Laurell, Senior Lecturer
- Henrik Barth, Senior Lecturer
- Lina Lundgren, Senior Lecturer
- Ludvig Lindlöf, Senior Lecturer
- Rögnvaldur Saemundsson, Senior Lecturer
- Patrik Hidefjäll, Adjunct Senior Lecturer
- Anna Zukowicka-Surma, Postdoctoral Position
- Monireh Kashiha, Postdoctoral Position
- Muhammad Ismail, Postdoctoral Position
- Luís Irgang Dos Santos, PhD Student
- Manoella Ramos da Silva, PhD Student
- Hanna Daneshmir, PhD Student
- Ingela Mauritzon, PhD Student
- Alireza Esmaeilzadeh, PhD Student
- Nyasha Chifamba, PhD Student
School of Health and Welfare
- Jens Nygren, Professor
- Petra Svedberg, Professor
- Ingrid Larsson, Professor
- Per Nilsen, Professor
- Julie Reed, Visiting Professor
- Carl Macrae, Visiting Professor
- Thomas Plough, Visiting Professor
- Lena Petersson, Senior Lecturer
- Margit Neher, Senior Lecturer
- Mikael Ahlborg, Senior Lecturer
- Katrin Häggström Westberg, Senior Lecturer
- Susann Arvidsson, Senior Lecturer
- Carina Göransson, Senior Lecturer
- Katarina Aili, Senior Lecturer
- Annelie Lindholm, Senior Lecturer
- Britt-Mari Gilljam, Senior Lecturer
- Daniel Tyskbo, Senior Lecturer
- Julia Malmborg Söderström, Associate Senior Lecturer
- Anna Gyberg, Postdoctoral Position
- Monica Nair, Postdoctoral Position
- Elin Siira, Postdoctoral Position
- Sara Karnehed, PhD Student
- Hassan Auf, PhD Student
- Emilie Steerling, PhD student
- Maria Lönn, PhD Student
- Daniel Daneshmir, PhD Student
- Britta Teleman, PhD student
- Marcus Rosenburg, Lecturer
- Caroline Karlsson, Project Assistant
- Hanna Johanson, Project Assistant
- Victoria Sandholm, Project Assistant
School of Information Technology
- Slawomir Nowaczyk, Professor
- Mattias Ohlsson, Professor
- Stefan Byttner, Professor
- Pontus Wärnestål, Deputy Professor
- Markus Lingman, Adjunct Professor
- Torkel Strömsten, Visiting Professor
- Philip Anderson, Visiting Professor
- Farzaneh Etminani, Senior Lecturer
- Jens Lundström, Senior Lecturer
- Katerina Cerna, Associate Senior Lecturer
- Prayag Tiwari, Senior Lecturer
- Najmeh Abiri, Senior Lecturer
- Amira Soliman, Associate Senior Lecturer
- Awais Ashfaq, Postdoctoral Position
- Atiye Hashemi, Postdoctoral Position
- Guojun Liang, Postdoctoral Position
- Alexander Galozy, Postdoctoral Position
- Ghada Fathey, Researcher
- Johannes Van Esch, Research Engineer
- Omar Hamed, Research Engineer
- Mirfarid Musavian Ghazani, Research Engineer
- Mohammad Mansoori, Research Engineer
- Ali Amirahmadi, PhD Student
- Emmanuella Budu, PhD Student
- Oskar Gustafsson, doktorand
Research projects
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The ADAAI project focuses on the implementation and use of AI-assisted digital assistants in care organisations. It aims to generate knowledge on organisational and leadership conditions for
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There are great hopes that artificial intelligence (AI) will contribute to dealing with many of the challenges that healthcare in Sweden is dealing with today. The project has the potential to promote
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In the context of health promotion work and improvement work in healthcare, a number of different projects and development work are carried out. Often these are driven by commitment to the business,
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Artificial Intelligence Radiology (AIR): A copilot tool for quantitative assessment of lung diseases
The AIR project aims to assist radiologists in longitudinal assessments of lung diseases. Purpose and goal The AIR project aims to assist radiologists in longitudinal assessments of lung diseases. Its
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The Swedish healthcare system is of high quality but is characterised by inequality, persistent waiting lists, poor cost control and reforms that are often implemented without a sufficiently holistic
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The research project is Region Kronoberg’s initiative to develop more integrated, proactive and person-centred care. Local authorities and the region are working together and using data to improve
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This research aims to delve deeper into stakeholder relationships, roles, expectations and interdependencies when collaborating in data quality management when developing AI-based Clinical Decision
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The project is carried out in collaboration with companies and primary care facilities in the south of Sweden. It is designed around a set of empirical cases of implementation and/or adoption of
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The overall aim of the project is to generate new knowledge about real-world implementation and use of AI applications for automation of administrative work in healthcare, how professional roles
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The antidepressant clinical effect of ESK has been demonstrated in several randomized studies, but research on patient experiences is limited and there are few studies focusing on treatment
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The project aims to create a framework to support implementation of AI- applications in healthcare settings. The framework will help healthcare organizations to plan and prepare for AI implementations
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The aim of this project is to explore health-promoting factors that support a sustainable study and working life in the fields of care, nursing, and social work, both during and after professional
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The implementation of innovations in healthcare is challenging, especially when innovations are applied to healthcare services for patients living with long-term and complex conditions that require
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Healthcare data interoperability is widely recognized as an important enabler of digital transformation in healthcare, yet it remains challenged by fragmented technical, organizational, regulatory,
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Research shows that young people and young adults with mental illness do not have access to or do not receive satisfactory and effective support measures when they seek help for their problems. To
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SAFE is a research project conducted in collaboration that investigates how AI can be used as support in preventive work to reduce the occurrence of falls in healthcare. The project aims to create
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Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental condition in children that involves difficulty concentrating, hyperactivity and impulsivity to varying degrees depending
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The research project will investigate what values and resources exist in young people's social relationships and networks, how these can be reliably measured, and then examine what the connections
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This is a national innovation environment for scientific evaluation and implementation of precision health in cancer established based on the performance of clinical trial pilots. Summary In Sweden,
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This project, focus on how local, professional and institutional arrangements shape and are shaped themselves by, how healthcare professionals and other actors view, experience, and work with various
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UserInvolve is a collaboration between Swedish universities, the organised user movement and welfare actors in the field of mental health. The purpose is to increase knowledge about involvement and
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It is essential that blood sampling and other healthcare procedures involving children are carried out as gently as possible. Virtual Reality (VR), in the form of VR experiences and VR games, has been
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The collected research shows a continued negative trend for mental health among young people in Sweden. It is extremely urgent to try to reverse the trend, which from a societal perspective would
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The overall aim of the project is to study, develop and evaluate the implementation of support for children's participation in care processes. Several sub-projects and doctoral projects are included
News within IDC
Voices about IDC
Videos and podcasts
Youtube: 45 seconds with Monika Nair about implementation in healthcare External link.
Youtube: 45 seconds with Farzaneh Etminani about information driven care External link.
AI-podden with Farzaneh Etminani, Associate Professor at Halmstad University External link.
Other voices
Research Programme IDC at Vitalis and Medical Informatics Europe
Life Science Academy supports new companies in the health technology area
Contact
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Professor and Research Programme Leader
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Professor and Deputy Research Programme Leader
