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
Predicting Family Implementation of Complementary and Alternative Medicine in Autism Online Communities
Zhenni Ni
Onsdag 24 maj 2023 09:40 - 09:45 G2
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Presentation, Inspiration, Avancerad, Chef/Beslutsfattare, Omsorgspersonal, Vårdpersonal, Patientorganisationer/Brukarorganisationer, Nytta/effekt, Personcentrering, Styrning/Förvaltning, Patientsäkerhet
Complementary and alternative medicine (CAM) is widely adopted by families with autistic children. This study aims to predict family caregivers' CAM implementation based on the behavioral (degree and betweenness), environmental (positive feedback and social persuasion), and personal features (language style) of family caregivers in online communities.
Predicting Progression of Type 2 Diabetes using Primary Care Data with the Help of Machine Learning
Berk Ozturk
Torsdag 25 maj 2023 13:15 - 13:30 G2
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Presentation, Verktyg för implementering, Avancerad, Chef/Beslutsfattare, Tekniker/IT/Utvecklare, Forskare (även studerande), Studerande, Omsorgspersonal, Vårdpersonal, Personcentrering, Innovativ/forskning, Test/validering, Patientsäkerhet, Etik
Predicting Progression of Type 2 Diabetes using Primary Care Data with the Help of Machine Learning
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
Prediction of mental health support of employee perceiving by using machine learning methods
Hossein Jamalirad
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
Prognostic factors for Covid-19 on admission profile and air pollutants
Kikue Sato
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
Proposing a Novel Hybrid short-term Exchange Program in Biomedical and Health Informatics Education
Matthias Ganzinger, Thomas Engelsma, Linda Peute
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
Protocol of Validation Mechanisms within the Design of an electronic Case Report Form for the MULTI-SITA Project
Daniele Roberto Giacobbe
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
Publication Dynamics During the Orpea Nursing Homes Scandal: A Twitter Analysis
Fruchart Mathilde
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
Qualitative Assessment of Implementation of a Discharge Prediction Tool Using RE-AIM Framework
Joseph Finkelstein
Onsdag 24 maj 2023 10:45 - 11:00 G3
MIE: Decision support, English, Enbart på plats, Presentation, Avancerad
Quantitative Study of a Regional Patient Portal. Usage in the pandemic period.
Javier Quiles del Río
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Verktyg för implementering, Fördjupning, Chef/Beslutsfattare, Politiker, Verksamhetsutveckling, Omsorgspersonal, Vårdpersonal, Patientorganisationer/Brukarorganisationer, Personcentrering, Uppföljning/Nulägesbeskrivning
Presented on Tuesday 23th, 10:00 - The Galician Public Healthcare service has put in place a Patient Portal since 2016. The study shows how the pandemic period produced a cathalitic effect multiplying by 10x the number of citizens usign the portal in pandemia.
'Quer N0 AVC' for monitoring stroke patients' healthcare using a mobile app
GABRIELLE DOS SANTOS LEANDRO
Tisdag 23 maj 2023 08:45 - 09:00 G2
MIE: Health information systems, English, Förinspelat + På plats, Presentation, Avancerad
Random Forest and Gradient Boosted Trees for Patient Individualized Contrast Agent Dose Reduction in CT Angiography
René Pallenberg
Onsdag 24 maj 2023 11:15 - 11:30 G2
MIE: Sensors, signals and Imaging Informatics, English, Enbart på plats, Presentation, Avancerad
RD-MON - building a rare disease monitor to enhance awareness for patients with rare diseases in intensive care
Romina Blasini
Tisdag 23 maj 2023 11:25 - 11:30 G2
MIE: Patient records, English, Enbart på plats, Presentation, Avancerad
Reduction in X-ray retake rate using the token economy method
Hiroto Hada
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
Refinement of the target population for colorectal cancer screening in France, inventory as a prelude to the use of medico-administrative database.
AKOÏ KOÏVOGUI
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
Reliability of IMU-Derived Gait Parameters in Foot Drop Patients
Armando Coccia
Onsdag 24 maj 2023 14:00 - 14:15 G4
MIE: Sensors, signals and Imaging Informatics, English, Enbart på plats, Presentation, Avancerad
Representing Sex and Gender Information in Biomedical Research
Hilke Beelich
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
Reproducibility in 2023 - An end-to-end template for analysis and manuscript writing
Jonathan Mang
Torsdag 25 maj 2023 08:30 - 08:45 G2
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Presentation, Verktyg för implementering, Fördjupning, Tekniker/IT/Utvecklare, Forskare (även studerande), Studerande, Exempel från verkligheten (goda/dåliga), Utbildning (utbildningsbevis), Innovativ/forskning, Dokumentation
Reproducibility imposes some special requirements at different stages of each project, including reproducible workflows for the analysis including to follow best practices regarding code style and to make the creation of the manuscript reproducible as well. Available tools therefore include version control systems such as Git and document creation tools such as Quarto or R Markdown. However, a re-usable project template mapping the entire process from performing the data analysis to finally writing the manuscript in a reproducible manner is yet lacking. This work aims to fill this gap by presenting an open source template for conducting reproducible research projects utilizing a containerized framework for both developing and conducting the analysis and summarizing the results in a manuscript. This template can be used instantly without any customization.
Requirements to mHealth Applications for Animal Owners: A Narrative Review
Laura Haase
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
Available for discussion on Tue (23/5) between 9:30 am and 10:30 am and on Thu (25/5) between 9:30 am and 10:30 am.
Responsible Artificial Intelligence: A Need for Healthcare Applications
Carlos Luis Parra Calderón, Denis Newman-Griffis, Riccardo Bellazzi, Stephane Meystre
Onsdag 24 maj 2023 15:45 - 17:15 G1
MIE: Natural Language Processing, English, Enbart på plats, Panel, Inspiration, Avancerad, Chef/Beslutsfattare, Politiker, Verksamhetsutveckling, Tekniker/IT/Utvecklare, Forskare (även studerande), Studerande, Exempel från verkligheten (goda/dåliga), Nytta/effekt, Innovativ/forskning, Test/validering, Informationssäkerhet, Etik
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.