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.
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Track
The Centre for Preventive Care – What are the pros and cons of a healthcare system build on prediction and prevention?
Maria Stockhaus, Pomme van Hoof
Wednesday May 24, 2023 10:30 - 11:00 F3
Eng - Implementation / Change Managment, English, Live broadcast, Presentation, Inspiration, Introductory, Management/decision makers, Politicians, Organizational development, Researchers, Healthcare professionals, Patient/user organizations, Patient centration, Innovation/research, Ethics
The Centre for Preventive Care is a speculative design project exploring the future of healthcare. In november 2022 visitors were invited to Södersjukhuset in Stockholm to experience a healthcare visit in the future and to reflect upon pros and cons of a healthcare system build on prediction and prevention.
Using SNOMED CT to address real-world data challenges
Ian Green
Tuesday May 23, 2023 08:30 - 09:45 R22
MIE: Health information systems, English, On site only, Workshop, Advanced
Secondary use of health data and standardization
Oskar Thunman, Sahar Amdouni
Wednesday May 24, 2023 11:55 - 12:20 F5
Eng - European Health Data Space, EHDS , English, Live broadcast, Presentation, Tools for implementation, Introductory, Management/decision makers, Organizational development, Technicians/IT/Developers, Actual examples (good/bad)
EHDS (European Health Data Space) proposes a common European legislation which among other things ensures access to health data for secondary use.In this presentation, we look at the informatics associated with secondary use of health data, established standards and techniques for making data available for secondary use (including OMOP), international real world examples and how healthcare organizations can benefit internally from tools for secondary use.
MIE opening session with Keynote Professor Dipak Kalra
Dipak Kalra
Tuesday May 23, 2023 12:30 - 13:40 G3
English, On site only
Cross Organizational Health Data Sharing Using the Data Sharing Framework
Hauke Hund, Maximilian Kurscheidt, Simon Mödinger, Simon Schweizer
Monday May 22, 2023 10:00 - 14:00 R11
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Other, Advanced
Separate registration required: https://www.mie2023.org/tutorials,With this tutorial, participants will gain a detailed insight into the Data Sharing Framework (DSF). The open source DSF enables users to execute biomedical research and healthcare delivery processes across organizations, and the tutorial will demonstrate this with examples from the German Medical Informatics Initiative (MII) funded by the Federal Ministry of Education and Research (BMBF). The tutorial will cover fundamental concepts of distributed processes, the DSFs architecture and key standards such as HL7 FHIR and BPMN 2.0. Participants will have the opportunity to gain hands-on experience with the DSF by working with different processes in a lab setting. Technical aspects such as authentication and authorization will be covered, as well as guidance on using the DSF for other use cases. This tutorial is designed for those involved in distributed research projects, including project members and software developers, as well as individuals interested in multi-organizational research projects.Additional information: https://dsf.dev/tutorials/MIE2023.html
Client-Side Application of Deep Learning Models through Teleradiology
Sébastien Jodogne
Wednesday May 24, 2023 14:30 - 14:45 G4
MIE: Sensors, signals and Imaging Informatics, English, On site only, Presentation, Advanced
Deep learning models for radiology are typically deployed either through cloud-based platforms, through on-premises infrastructures, or though heavyweight viewers. This tends to restrict the audience of deep learning models to radiologists working in state-of-the-art hospitals, which raises concerns about the democratization of deep learning for medical imaging, most notably in the context of research and education. We show that complex deep learning models can be applied directly inside Web browsers, without resorting to any external computation infrastructure, thanks to the use of WebAssembly, and we release our code as free and open-source software. This opens the path to the use of teleradiology solutions as an effective way to distribute, teach, and evaluate deep learning architectures.
How do I turn this on? What to consider when adopting AI-based tools into clinical practice
Harry Hallock
Tuesday May 23, 2023 13:00 - 13:30 F1
AI, English, Pre-recorded + On-site, Presentation, Tools for implementation, Introductory, Management/decision makers, Organizational development, Purchasers/acquisitions/eco nomy/HR, Technicians/IT/Developers, Researchers, Care professionals, Healthcare professionals, Benefits/effects, Education (verification), Test/validation, Patient safety, Government information
Artificial intelligence (AI) has great potential to transform healthcare, making it more efficient, equitable, and safe. There are hundreds of AI-based tools available on the market today, yet few get adopted into clinical practice because of numerous barriers and challenges. This talk provides an overview of these hurdles and suggests 26 considerations synthesized from the literature, interviews, and workshop with stakeholders who have experience with the process of trying to adopt AI-based tools into clinical practice. We believe that as the barriers and challenges to AI adoption are addressed and overcome, AI will inevitably have a lasting impact on improving healthcare for all.
Human-centered Artificial Intelligence
Michelle van Velthoven
Tuesday May 23, 2023 14:00 - 14:30 F1
AI, English, On site only, Presentation, Orientation, Introductory, Management/decision makers, Organizational development, Technicians/IT/Developers, Care professionals, Patient/user organizations, Actual examples (good/bad), Patient centration, Management, Innovation/research, Patient safety
In this seminar, Michelle will give an overview of human-centered Artificial Intelligence at AstraZeneca's Digital Health Research & Development.
Healthcare Leaders’ Perceptions of the Usefulness of AI Applications in Clinical Work – A Qualitative Study
Lena Petersson
Wednesday May 24, 2023 09:35 - 09:40 G2
English, On site only, Presentation, Advanced
Ramsay Santé's Living Labs & Accelerator
Michael Adam Adler, Towa Jexmark
Tuesday May 23, 2023 13:00 - 13:30 F3
Innovation, English, Live broadcast, Presentation, Inspiration, Intermediate, Management/decision makers, Politicians, Organizational development, Purchasers/acquisitions/eco nomy/HR, Technicians/IT/Developers, Researchers, Care professionals, Healthcare professionals, Patient/user organizations, Actual examples (good/bad), Benefits/effects, Patient centration, Innovation/research, Test/validation
A practical approach to innovating and transforming healthcare through collaboration and acceleration of external companies and partners within Ramsay Santé
Change management is needed to make management change
Peter Daneryd
Tuesday May 23, 2023 10:30 - 11:00 F1
AI, English, Pre-recorded + On-site, Presentation, Inspiration, Intermediate, Management/decision makers, Politicians, Organizational development, Technicians/IT/Developers, Actual examples (good/bad), Benefits/effects, Welfare development, Management, Innovation/research, Follow-up/Report of current status
Successful digitalization requires bold and courageous leadership – with extensive skills in change management and fully understanding Return on Investment (ROI) – “bang for the buck”. This lecture will address the challenges to all healthcare leaders in digitalization, with the objective that all decision making must be based on facts to ensure that a change always is an improvement.
Parallel Recurrent Convolutional Neural Network for Abnormal Heart Sound Classification
Ankica Babic, Arash Gharehbaghi, Arash Gharehbaghi
Tuesday May 23, 2023 15:00 - 15:15 G2
MIE: Decision support, English, On site only, Presentation, Advanced
Unlocking the power of SNOMED CT in advanced clinical practice
Katrina Comer, Phili Reynolds
Tuesday May 23, 2023 11:40 - 12:10 F3
Eng - International Perspective on eHealth, English, Live broadcast, Presentation, Tools for implementation, Intermediate, Management/decision makers, Organizational development, Technicians/IT/Developers, Actual examples (good/bad), Benefits/effects, Documentation, Usability
Nursing practice is transforming at pace to lead improvements in patient outcomes in hospital, primary and community practice. New opportunities are emerging in advanced nursing practice which is a new level of practice defined by knowledge and skills acquisition. There are 4 leadership domains of advanced clinical practice: clinical, professional, health system and health policy leadership. A key component of health systems leadership is driving system change through digital transformation and clinical informatics. The approach to developing advanced clinical practice in east London will be described. Embedded in our approach is the systematic use of our multidisciplinary ‘WeConnect’ digital transformation programme. To implement change and training, a thorough clinical and technical understanding are both needed. This is where the role of the nursing and medical informaticists alongside innovative and engaging advanced clinical practitioners is essential. Key skills for advanced clinical practitioners are the development of autonomous clinical practice based on a foundation of digital skills. These include: use of SNOMED-CT for problem and procedure listing and decision support, analytics and risk based assessments derived from the real world data recorded in the electronic health record. Supporting the journey towards higher levels of digital and SNOMED-CT maturity is a key organisational objective.
A Masked language model for multi-source EHR trajectories contextual representation learning
Ali Amirahmadi, Kobra Etminani
Wednesday May 24, 2023 11:30 - 11:35 G3
MIE: Decision support, English, On site only, Presentation, Advanced
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