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 Prevalence of mRNA Related Discussions during the Post-COVID-19 Era
Dimitrios Kokkinakis
Thursday May 25, 2023 10:45 - 11:00 G3
MIE: Natural Language Processing, English, On site only, Presentation, Advanced
Conception and Development of a Targeted Alert System : Multisystem Considerations
Frederic Ehrler
Tuesday May 23, 2023 16:00 - 16:15 G1
MIE: Health information systems, English, On site only, Presentation, Advanced
Usability engineering of dynamic biosignal displays using ventilation data
Beatrice Coldewey
Tuesday May 23, 2023 10:30 - 10:45 G3
English, On site only, Presentation, Advanced
The aim of this work is to develop and evaluate a multi-stage procedure model for the identification of use problems and optimization of usability using biosignal data. The concept is divided into 5 steps: 1. static analysis of data to identify use problems; 2. conducting interviews within the context of use and requirements analysis to investigate problems in more detail; 3. developing new interface concepts to implement the requirements and a prototype of an interface including dynamic visualization of data; 4. formative evaluation using an unmoderated remote usability test; 5. usability test with realistic scenarios and influencing factors in the simulation room. The concept was evaluated in the ventilation setting as an example. The procedure allowed the identification of use problems in the ventilation of patients as well as the development of suitable concepts and their evaluation to counteract use problems. To relieve users, ongoing analyses of biosignals with respect to the use problem are to be carried out. To overcome technical barriers, further development is needed in this area.
Enhancing data protection via auditable informational separation of powers between workflow engine based agents: conceptualization, implementation, and first cross-institutional experiences.
Sven Zenker
Tuesday May 23, 2023 16:45 - 17:00 G1
MIE: Health information systems, English, On site only, Presentation, Advanced
Feature selection based on a Genetic Algorithm for optimizing weaning success
Gabriella Balestra
Tuesday May 23, 2023 16:45 - 17:00 G3
MIE: Decision support, English, On site only, Presentation, Advanced
Enterprise AI Vision: Running and managing AI from algorithm to human and machine.
Larry Sitka
Wednesday May 24, 2023 16:00 - 17:00 J1
English, On site only, Inspiration, Intermediate, Management/decision makers, Politicians, Organizational development, Purchasers/acquisitions/eco nomy/HR, Technicians/IT/Developers, Researchers, Students, Care professionals, Healthcare professionals, Patient/user organizations, Actual examples (good/bad), Benefits/effects, Welfare development, Innovation/research, Follow-up/Report of current status, Government information, Ethics
Ai in its current form and function is unrealistic unsupportable and for some unattainable economically speaking. A vision of democratizing and commoditizing Ai while running at scale never seen. In addition how can this new user not human never takes a break be managed without overwhelming the clinical staff.Presented will be a challenge to all vendors in the industry and the future. It’s time for a change.Presented will be an idea for a platform that leverages existing application as we manage human/clinical driven workflows vs data/machine learning workflows going forward.
CANCELLED A Model for Multi-Institutional Clinical Data Repository
Karthik Natarajan
Thursday May 25, 2023 09:15 - 09:30 G3
MIE: Health information systems, English, On site only, Presentation, Advanced
CANCELLED
Towards prediction of injuries in traffic accidents
Viktor Sobotta
Thursday May 25, 2023 13:00 - 13:15 G2
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Presentation, Advanced
Implementation of the Regulation on the European Health Data Space (EHDS) in Croatia
Emanuel Bradaševic
Thursday May 25, 2023 09:35 - 09:40 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Presentation, Advanced
Description of a French Population of Diabetics Treated Followed up by General Practitioners.
Fruchart Mathilde, Paul Quindroit, Antoine Lamer
Wednesday May 24, 2023 16:00 - 16:15 G4
English, On site only, Presentation, Advanced
Comparative Analysis of Electrodermal activity Decomposition Methods in Emotion Detection using Machine Learning
Praveen Kumar Govarthan, SRIRAM KUMAR P, Tikaram
Thursday May 25, 2023 13:15 - 13:30 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Pre-recorded + On-site, Presentation, Advanced
Electrodermal activity (EDA) reflects sympathetic nervous system activitythrough sweating-related changes in skin conductance. Decomposition analysisis used to deconvolve the EDA into slow and fast varying tonic and phasicactivity, respectively. In this study, we used machine learning models to comparethe performance of two EDA decomposition algorithms to detect emotions such asamusing, boring, relaxing, and scary. The EDA data considered in this study wereobtained from the publicly available Continuously Annotated Signals of Emotion(CASE) dataset. Initially, we pre-processed and deconvolved the EDA data intotonic and phasic components using decomposition methods such as cvxEDA andBayesianEDA. Further, twelve-time domain features were extracted from the phasiccomponent of EDA data. Finally, we applied machine learning techniques suchas logistic regression (LR) and support vector machine (SVM), to evaluate the performanceof the decomposition method. Our results imply that the BayesianEDAdecomposition method outperforms the cvxEDA. The mean of first derivative featurediscriminated all the considered emotional pairs with high statistical significance(p<0.05). SVM was able to detect emotions better than the LR classifier.We achieved a 10-fold average classification accuracy, sensitivity, specificity, precision,and f1-score of 88.2%, 76.25%, 92.08%, 76.16%, and 76.15% respectively,using BayesianEDA and SVM classifier. The proposed framework can be utilizedto detect emotional states for the early diagnosis of psychological conditions.
Validation rules as first step for Data Quality: Pharmacovigilance Application in Portugal
Bárbara Costa
Poster Area
MIE: Posters, English, On site only, Poster, Advanced
An audit of dietitians’ documentation – comparing the level of agreement between the audit instruments Diet-NCP-Audit and NCP-QUEST
Evelina Liljeberg
Poster Area
MIE: Posters, English, On site only, Poster, Advanced
Self, at home, and digital if possible, drivers to population health management
Jacob Hofdijk, Felix Cillessen
Wednesday May 24, 2023 16:45 - 17:00 G4
English, On site only, Presentation, Advanced
An adaptive digital intelligence system to support infodemic management: The WHO EARS platform
Agnese Pastorino
Poster Area
MIE: Posters, English, On site only, Poster, Advanced
From FAIR4Health project to 1+MG initiative: a Spain – Italy Collaboration.
Carlos Luis Parra Calderón, Mauro Giacomini
Poster Area
MIE: Posters, English, On site only, Poster, Advanced
Mapping Korean National Health Insurance Claim Codes for Laboratory Test to SNOMED CT
Sumi Sung
Thursday May 25, 2023 11:00 - 11:15 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Presentation, Advanced
Early experiences of integrating an Artificial Intelligence-based diagnostic decision support system into radiology settings: a qualitative study
Nusa Faric
Poster Area
MIE: Posters, English, On site only, Poster, Advanced
Converting HL7 CDA based nationwide Austrian medication data to OMOP CDM
Florian Katsch
Poster Area
MIE: Posters, English, On site only, Poster, Advanced
Announcement of the German Medical Text Corpus Project (GeMTeX)
Martin Boeker
Poster Area
MIE: Posters, English, On site only, Poster, Advanced