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Seminar series on information-driven care

Welcome to the seminar series on Information-Driven Care: Advancing AI, Innovation, and Implementation Sciences. Every other month in 2025 we will bring together researchers at the intersection of artificial intelligence, healthcare innovation, business model innovation, and implementation science to explore how data and technology can transform care delivery.

As the healthcare landscape becomes increasingly data-rich, the role of AI in driving actionable insights, ethical decision-making, and equitable care has never been more critical. Together, we will delve into cutting-edge research, discuss challenges such as data bias, ethics, data-driven business models, and regulatory as well as implementation constraints, and explore how innovative approaches can bridge the gap between theory and practice.

This series aims to foster cross-disciplinary collaboration, spark ideas, and equip researchers with the tools to design and implement AI solutions that are not only groundbreaking but also trustable, sustainable, and impactful in real-world settings.

The objectives of the seminar series are:

  • Knowledge Sharing: Provide PhD students and researchers at three schools (ITE, FIH, and HOV) with an in-depth understanding of information-driven care and its applications.
  • Networking: Create a platform for us within diverse disciplines to connect and collaborate.
  • Skill Development: Share among attendees, the tools and methodologies to explore data-driven business models and data-driven implementation strategies in healthcare.

Themes and format

The format for the seminar series is a combination of paper discussions, interactive workshops, and project/research presentations.

The seminars will be offered in hybrid mode to ensure accessibility for both in-person and virtual participants. The seminars are offered every other month in 2025 and will last for 1.5–2 hours on Wednesdays from 11.00 to 12.30/13.00.

Seminar 1: AI and trust – understanding bias, ethics, and preparing for the EU AI act

Seminar leader: Amira Soliman, Senior Lecturer in AI and Machine Learning, ITE
When: 23 April, 2025
Where: Online via Zoom and at the University. Link and room will be sent out after registration.

Seminar 2: Data-driven business models and value creation

Seminar leader: Hélène Laurell, Senior Lecturer in Business Economid, FIH
When: 18 June, 2025
Where: Online via Zoom and at the University. Link and room will be sent out after registration.

Seminar 3: IDC inter-school activities – future plans

Seminar leader: Petra Svedberg, Professor of Nursing, HOV, and Magnus Holmén, Professor of Innovation Science, FIH
When: August 2025
Where: Online via Zoom and at the University. Link, room and date will be sent out after registration.

Seminar 4: Mental health (PadAI, blankets for ADHD, wellness and being more active)

Seminar leader: Lena Petersson, Senior Lecturer in Health Pedagogics, and Katrin Häggström Westberg, Senior Lecturer in Nursing
When: October 2025
Where: Online via Zoom and at the University. Link, room and date will be sent out after registration.

Seminar 5: PhD student presentations

Seminar leader: Muhammad Ismail, Postdoctor in organisational factors for AI in healthcare, FIH
When: December 2025
Where: Online via Zoom and at the University. Link, room and date will be sent out after registration.

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Do you wish to participate? Sign up using the form below!





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