Sessions
The conference at Vitalis 2023 consists of several tracks with panel discussions, keynote presentations and studio talks. Most of the content will also be available online via live broadcasts and recorded lectures, available on demand.
Search the programme and customise your agenda!
You can filter by topic, seminar type, target audience or time. There are also a number of thematic tracks in the programme.
Register for conference | Vitalis - English
Track
Building A Disease Knowledge Graph
Enayat Rajabi
Thursday May 25, 2023 13:00 - 13:15 G3
MIE: Knowledge and Information representation and modeling, English, On site only, Presentation, Advanced
Interdisciplinary Human-Centered AI for Hospital Readmission Prediction of Heart Failure Patients
Amira Soliman, Marcus Petersson, Jens Nygren, Lina Lundgren, Ebba Fogelberg, Petra PetraDryselius, Monika Nair, Kobra Etminani
Tuesday May 23, 2023 14:00 - 14:15 G2
MIE: Decision support, English, On site only, Presentation, Advanced
Responsible Artificial Intelligence: A Need for Healthcare Applications
Carlos Luis Parra Calderón, Denis Newman-Griffis, Riccardo Bellazzi, Stephane Meystre
Wednesday May 24, 2023 15:45 - 17:15 G1
MIE: Natural Language Processing, English, On site only, Panel, Inspiration, Advanced, Management/decision makers, Politicians, Organizational development, Technicians/IT/Developers, Researchers, Students, Actual examples (good/bad), Benefits/effects, Innovation/research, Test/validation, Information security, Ethics
Remarkable progress in artificial intelligence (AI) algorithms performance, and the fast growth in “real world” data available in electronic form generate high hopes for healthcare quality, efficiency, and accessibility improvements. But this game changing progress also causes growing concerns about the effects of growing AI use and its unintended, unanticipated, or even intentionally unethical consequences. Numerous issues and limitations of the algorithms and data used in healthcare and beyond have become more visible, and several organizations and researchers have proposed advice and guidelines to help address these concerns, issues, and limitations. Principles of Responsible AI are now promoted by several important organizations and stakeholders in the AI industry, but there is a need to move these principles towards practical realization and application in real-world scenarios. This panel will address several key aspects of responsible AI in health: explainability and interpretability; bias and fairness; reliability, reusability, and efficiency; privacy and confidentiality protection.
Ethical Perspectives on Implementing AI to Predict Mortality Risk in Emergency Department Patients – A Qualitative Study
Lena Petersson
Tuesday May 23, 2023 09:30 - 09:35 G3
MIE: Human Factors and organizational issues, English, On site only, Presentation, Advanced
Explainable Graph Neural Networks for Atherosclerotic Cardiovascular Disease
Jens Lundström
Tuesday May 23, 2023 17:00 - 17:05 G3
MIE: Decision support, English, On site only, Presentation, Advanced
Domain Knowledge-Driven Generation of Synthetic Healthcare Data
Atiye Sadat Hashemi
Tuesday May 23, 2023 11:20 - 11:25 G2
MIE: Patient records, English, On site only, Presentation, Advanced
What are we talking about when we talk about information-driven care? A Delphi-study on a definition
Elin Siira, Jens Nygren, Petra Svedberg
Tuesday May 23, 2023 09:30 - 09:35 G1
MIE: Knowledge and Information representation and modeling, English, On site only, Presentation, Advanced
PANEL: Health Data Sweden – Improving Health Data Use and Access
Elin Jonsson, Emma Börjesson, Lina Nilsson, Louise Wandel, Maria Hägglund, Sara Riggare, Sebastiaan Meijer, Anna Clareborn
Wednesday May 24, 2023 13:45 - 15:15 J2
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Panel, Advanced
The European Digital Innovation Hub (EDIH) project Health Data Sweden (HDS), initiated in January 2023, aims to support this development by creating a more effective access to services to regarding digitalisation of the health care system both regionally and nationally, through the use of health data. The HDS connects 17 partners from all over Sweden, who currently offer services in health data and related fields such as digital care and e-health, to various target groups and stakeholders. HDS will also connect with other EDIHs throughout Europe, to transfer knowledge and share best practices concerning the use of health data and related fields, in order to improve healthcare on the EU level.In this panel, we will present some of the main challenges and needs in the health data context identified by the partners behind EDIH-HDS, and discuss how the project will address these obstacles. The five main work packages (the focus of WP1 is primarily administrative) will provide the structure for the presentation. In order to engage the audience and stimulate feedback and discussion, the panel will contain interactive elements throughout.
openEHR Master Class
Erik Sundvall, Mikael Nyström, Silje Ljosland Bakke, Åsa Skagerhult
Monday May 22, 2023 10:00 - 14:00 R17
MIE: Health information systems, English, On site only, Other, Orientation, Advanced, Management/decision makers, Politicians, Organizational development, Purchasers/acquisitions/eco nomy/HR, Technicians/IT/Developers, Researchers, Students, Care professionals, Healthcare professionals, Patient/user organizations, Innovation/research, Follow-up/Report of current status, Documentation
Separate registration required: https://www.mie2023.org/tutorials, openEHR consists of open specifications and clinical models for building healthcare and welfare information systems. This Master Class presents the problems openEHR addresses and how openEHR addresses them using its reference model and the clinical models that consist of archetypes and templates. It will further be explained how openEHR relates to other standards, how openEHR can be localised and implemented and how the organisation openEHR International and its surrounding community work.
Transitioning from Data to Patient Benefit: A Use-Case
Amira Soliman, Atiye Sadat Hashemi, Jens Lundström, Kobra Etminani, Louise Wandel, Sadi Alawadi
Monday May 22, 2023 10:00 - 14:00 G1
MIE: Decision support, English, On site only, Other, Advanced
Separate registration required: https://www.mie2023.org/tutorials, Transitioning from data to a clinical decision support system able tobenefit patients involves a plethora of perspectives within the following domains:clinical, legal, technical, managerial, and system development. This requires multiplepartners such as healthcare providers, universities, authorities and technologyproviders to join forces. In this tutorial the partners Region Halland, SahlgrenskaUniversity Hospital, Swedish Authority for Privacy Protection, Halmstad University,AI Sweden, HallandiaV, and the Netherlands eScience Center will give theirperspectives and deep-dive into several of the challenges and possibilities of the realizationof Clinical Decisions Support Systems (CDSS), for the specific use-caseof heart failure readmission prediction.
Opening Keynote
David Novillo Ortiz, Jakob Forssmed, Tom Lawry, Renée Bengtsson, Boel Mörck, Persephone Doupi
Monday May 22, 2023 15:00 - 17:00 Congress Hall
English