Programpunkter
Konferensen på Vitalis 2023 består av flera spår med paneldiskussioner, keynote-presentationer och studiosamtal. Större delen av innehållet kommer också göras tillgängligt digitalt via livesändningar och inspelade föreläsningar, tillgängliga on demand.
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Spår
Learning from Health Professionals: A User-Centred Approach to Design a Wound Monitoring Platform
Beatriz Félix, Ricardo Melo
Tisdag 23 maj 2023 15:05 - 15:10 G1
MIE: Health information systems, English, Enbart på plats, Presentation, Avancerad
How AI is transforming patient outcomes in Healthcare
James Norman
Tisdag 23 maj 2023 15:30 - 16:00 F1
AI, English, Enbart på plats, Presentation, Inspiration, Fördjupning, Chef/Beslutsfattare, Verksamhetsutveckling, Tekniker/IT/Utvecklare, Vårdpersonal, Nytta/effekt, Välfärdsutveckling, Innovativ/forskning, Informationssäkerhet
Why is AI proving more of a challenge in Healthcare than other industries? AI has been promoted as the saviour of medicine yet has failed to make the difference many predicted. Here in this presentation we will explore how AI has changed the potential for healthcare and the barriers that are still faced.
Digitizing the Female Body: Legal and Ethical Implications in Femtech
Bethany Corbin
Tisdag 23 maj 2023 15:30 - 16:00 F3
Innovation, English, Livesänd, Presentation, Verktyg för implementering, Fördjupning, Chef/Beslutsfattare, Tekniker/IT/Utvecklare, Omsorgspersonal, Vårdpersonal, Innovativ/forskning, Appar, Informationssäkerhet, Etik
Women's health technology (femtech) is a burgeoning industry that seeks to develop personalized health solutions for individuals identifying as female. From menstruation and maternal healthcare to longevity and chronic care platforms, the global femtech market is anticipated to be worth over $50 billion by 2025. Yet, most digital health companies entering the femtech market fail to prioritize three crucial aspects to their products and businesses: (i) accuracy, (ii) privacy and security, and (iii) scalability. This presentation provides a roadmap to the key legal and ethical challenges facing women's health companies, and offers solutions to ensure these companies build robust and internationally scalable businesses that are capable of driving long-term innovation in women's health.
Post hoc sample size estimation for deep learning architectures for ECG-classification
Lucas Bickmann
Tisdag 23 maj 2023 15:45 - 16:00 G1
MIE: Health information systems, English, Enbart på plats, Presentation, Orientering, Avancerad, Tekniker/IT/Utvecklare, Forskare (även studerande), Studerande, Innovativ/forskning
Traditional sample size estimation for sufficient model performance is not applicable for machine learning, especially in the field of electrocardiograms (ECGs). This presentation outlines a sample size estimation strategy for binary classification problems on ECGs. The post-hoc sample size estimations are based on a benchmark across different architectures and different classification targets. The results indicate trends for required sample sizes for given tasks and architectures, which can be used as orientation for future ECG studies or feasibility aspects.
Evidence of Digital Health Applications from a State-Regulated Repository for Reimbursable Health Applications in Germany
Ute von Jan, Dennis Lawin, Evgenii Pustozerov, Florian Dittrich, Urs-Vito Albrecht
Tisdag 23 maj 2023 15:45 - 16:00 G2
MIE: Telehealth, English, Enbart på plats, Presentation, Avancerad
Clinical decision support: Evaluating the development of a tool for nurses
Bente Christensen, Ann Kristin Rotegård
Tisdag 23 maj 2023 15:45 - 16:00 G3
MIE: Decision support, English, Enbart på plats, Presentation, Avancerad
International Perspectives on Ethical Principles Across the AI Lifecycle
Jean Louis Raisaro, Fabian Prasser, Bradley Malin, Laurie Novak
Tisdag 23 maj 2023 15:45 - 17:15 G4
MIE: Societal aspects, English, Enbart på plats, Panel, Avancerad
Where Medical Informatics Can Help to Prevent Rare Diseases from Vanishing in Hospital Information Systems
Dagmar Krefting, Holm Graessner, Ana Rath, Peter N. Robinson, Tamara Martin
Tisdag 23 maj 2023 15:45 - 17:15 J2
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Panel, Avancerad
WORKSHOP: Caring before Sharing - Validating EHR Data in federated and distributed Research Infrastructures
Anne Moen, Ivana Ognjanovic, Johan Gustav Bellika, Jonas Bienzeisler, Susanne Drynda, Thomas Ganslandt
Tisdag 23 maj 2023 15:45 - 17:15 R22
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Workshop, Avancerad
WORKSHOP: Requirements for a Digital Therapeutics (DTx) Design and Trial Service: An Expert Workshop
Kerstin Denecke, Tobias Kowatsch
Tisdag 23 maj 2023 15:45 - 17:15 R23
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Workshop, Avancerad
It is of utmost importance to understand better the requirements for a Digital Therapeutics (DTx) design and trial service that supports the design of DTx and their efficient evaluation via feasibility studies, optimization trials (e.g., micro-randomized trials), efficacy or effectiveness trials (e.g., randomized controlled trials). This workshop has, therefore, the objective of gathering such requirements by applying the World Café methodology and discussing several complex care scenarios. We welcome participants with various backgrounds (e.g., technical, regulatory, medical, ethical) who bring in different perspectives.
Ethical AI in medical device software
Shahid Jabbar
Tisdag 23 maj 2023 16:00 - 16:30 F1
AI, English, Enbart på plats, Presentation, Verktyg för implementering, Fördjupning, Chef/Beslutsfattare, Tekniker/IT/Utvecklare, Vårdpersonal, Patientorganisationer/Brukarorganisationer, Exempel från verkligheten (goda/dåliga), Nytta/effekt, Välfärdsutveckling, Kommun, Appar, Patientsäkerhet, Informationssäkerhet, Etik
With the fast progression in AI, its role in healthcare is bound to be ubiquitous in near future. However, creating AI software that is unbiased and trained ethically remains a challenge. In this session, we will evaluate different aspects of what it means for the AI to be biased and how we can evaluate it as a medical device software. Similarly, it is important to understand the fact that ethical AI is a two-way street. We will also look into how the society and the regulatory bodies should play a role for AI to be constructed in an ethical way.
High value FemTech to enhance women’s global health - Why we need a targeted research agenda?
Caroline Figueroa, Dr. Josephine Sundqvist, PhD, Sarah Wamala-Andersson, Andy Bleaden
Tisdag 23 maj 2023 16:00 - 17:00 F3
Innovation, English, Livesänd, Annat, Orientering, Fördjupning, Chef/Beslutsfattare, Politiker, Tekniker/IT/Utvecklare, Forskare (även studerande), Omsorgspersonal, Vårdpersonal, Patientorganisationer/Brukarorganisationer, Nytta/effekt, Välfärdsutveckling, Personcentrering, Innovativ/forskning
Women have been historically excluded from healthcare research and women’s health issues still receive inadequate attention, yet women live more years in poor health and with disability.Digital transformation and a rapidly growing global FemTech market provide new opportunities to transform the lives of millions of women globally and contribute to a substantial social impact and economic gains. However, research on FemTech that provide robust evidence on its value is lacking.In this seminar, based on our ongoing research, we will discuss opportunities and challenges of FemTech and why a rigorous research agenda with targeted research funding is needed. We will also address research methods that include multi-stakeholder partnerships, methods of intersectionality research to address health inequities, and co-creation models to engage women in the co-design of technologies to ensure person-centered outcomes.
Conception and Development of a Targeted Alert System : Multisystem Considerations
Frederic Ehrler
Tisdag 23 maj 2023 16:00 - 16:15 G1
MIE: Health information systems, English, Enbart på plats, Presentation, Avancerad
The Future of Online Video Consultations in Primary Care – a qualitative study
Maria Hägglund
Tisdag 23 maj 2023 16:00 - 16:15 G2
MIE: Telehealth, English, Enbart på plats, Presentation, Avancerad
This study has the overall aim to study physicians’ experiences of VCs, here focusing on their suggestions for future improvements. Twenty-two semi-structured interviews were performed with physicians working for an online healthcare provider in Sweden, and analyzed through inductive content analysis. Two themes emerged related to desired future improvements of VCs; blended care and technical innovation.
Prediction of COVID-19 mortality in the Intensive Care Unit using Machine Learning
Georgios Feretzakis
Tisdag 23 maj 2023 16:00 - 16:15 G3
MIE: Decision support, English, Enbart på plats, Presentation, Avancerad
Implementation, Adoption and Use of the Nationwide Kanta Services in Finland 2010-2022
Vesa Jormanainen
Tisdag 23 maj 2023 16:15 - 16:30 G1
MIE: Health information systems, English, Enbart på plats, Presentation, Avancerad
Use of Digital Games for Educational Purposes Among Medical and Paramedical Sciences Students, Mashhad, Iran
Seyyedeh Fatemeh Mousavi Baigi
Tisdag 23 maj 2023 16:15 - 16:30 G2
MIE: Telehealth, English, Enbart på plats, Presentation, Övrigt, Avancerad, Politiker, Verksamhetsutveckling, Tekniker/IT/Utvecklare, Studerande, Vårdpersonal, Utbildning (utbildningsbevis)
First Steps towards a Risk of Bias Corpus of Randomized Controlled Trials
Anjani Dhrangadhariya
Tisdag 23 maj 2023 16:15 - 16:30 G3
MIE: Decision support, English, Enbart på plats, Presentation, Avancerad
Increasing quality of care by using AI, visual patient trajectories and synthetic data generation
Erik Brandt, Kobra Etminani, Thomas Davidsson
Tisdag 23 maj 2023 16:30 - 17:00 F1
AI, English, Förinspelat + På plats, Presentation, Inspiration, Fördjupning, Chef/Beslutsfattare, Politiker, Verksamhetsutveckling, Upphandlare/inköp/ekonomi/HR, Tekniker/IT/Utvecklare, Forskare (även studerande), Studerande, Omsorgspersonal, Vårdpersonal, Patientorganisationer/Brukarorganisationer, Nytta/effekt, Personcentrering, Innovativ/forskning, Informationssäkerhet, Etik
Healthcare longitudinal data offers endless opportunities such as diagnostics, and prognostics, to care personalization and improving healthcare quality and efficiency. These can be achieved through Artificial Intelligence (AI), data science, and in specific machine learning (ML). However, lack of inscrutability of the AI/ML-based techniques has hampered pervasive AI in healthcare systems. In this talk, we will introduce graph-based approaches for collecting, storing, visualizing, analyzing, and modeling healthcare data, and discuss how they outperform the other available approaches. We will also discuss challenges around health data and how synthetic data can mitigate them.
Towards a national portal for medical research data (FDPG): Vision, Status and Lessons Learned
Hans-Ulrich Prokosch
Tisdag 23 maj 2023 16:30 - 16:45 G1
MIE: Health information systems, English, Enbart på plats, Presentation, Avancerad