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: MIE: Health information systems
All sessionsCANCELLED 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
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
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
Timeline of and Expectations for the National Medication List in Sweden
Mikael Hoffmann
Tuesday May 23, 2023 14:45 - 15:00 G1
MIE: Health information systems, English, On site only, Presentation, Advanced
Implementation, Adoption and Use of the Nationwide Kanta Services in Finland 2010-2022
Vesa Jormanainen
Tuesday May 23, 2023 16:15 - 16:30 G1
MIE: Health information systems, English, On site only, Presentation, Advanced
Towards a national portal for medical research data (FDPG): Vision, Status and Lessons Learned
Hans-Ulrich Prokosch
Tuesday May 23, 2023 16:30 - 16:45 G1
MIE: Health information systems, English, On site only, Presentation, Advanced
Post hoc sample size estimation for deep learning architectures for ECG-classification
Lucas Bickmann
Tuesday May 23, 2023 15:45 - 16:00 G1
MIE: Health information systems, English, On site only, Presentation, Orientation, Advanced, Technicians/IT/Developers, Researchers, Students, Innovation/research
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.
Cross-registry benchmarking of data quality: Lessons learned
Jürgen Stausberg
Tuesday May 23, 2023 14:00 - 14:15 G3
MIE: Health information systems, English, On site only, Presentation, Advanced
Learning from Health Professionals: A User-Centred Approach to Design a Wound Monitoring Platform
Beatriz Félix, Ricardo Melo
Tuesday May 23, 2023 15:05 - 15:10 G1
MIE: Health information systems, English, On site only, Presentation, Advanced
Data Quality Assessment for Observational Medical Outcomes Partnership Common Data Model of Multi-Center
Inyoung Choi, WONA CHOI
Thursday May 25, 2023 09:30 - 09:45 G3
MIE: Health information systems, English, On site only, Presentation, Advanced
Enriching Remote Monitoring and Care Platforms with Personalized Recommendations to Enhance Gamification and Coaching
Ilias Maglogiannis, Parisis Gallos
Tuesday May 23, 2023 17:00 - 17:15 G1
MIE: Health information systems, English, On site only, Presentation, Advanced
Patients' remote monitoring platforms can be enhanced with intelligent recommendations and gamification functionalities to support their adherence to care plans. The current paper aims to present a methodology for creating personalized recommendations, which can be used to improve patient remote monitoring and care platforms. The current pilot system design is aimed to support patients by providing recommendations for Sleep, Physical Activity, BMI, Blood sugar, Mental Health, Heart Health, and Chronic Obstructive Pulmonary Disease aspects. The users, through the application, can select the types of recommendations they are interested in. Thus, personalized recommendations based on data obtained by the patients’ records anticipated to be a valuable and a safe approach for patient coaching. The paper discusses the main technical details and provides some initial results.
Challenges with medication management and the National Medication List in Sweden: an interview study from a human, organizational, and technology perspective
Tora Hammar, Mikael Hoffmann, Lina Nilsson
Tuesday May 23, 2023 14:30 - 14:45 G1
MIE: Health information systems, English, On site only, Presentation, Advanced
Identifying and Predicting Postoperative Infections Based on Readily Available Electronic Health Record data
Siri Van Der Meijden
Tuesday May 23, 2023 15:00 - 15:05 G1
MIE: Health information systems, English, On site only, Presentation, Advanced
Optimization of Pre-Ictal Interval Time Period for Epileptic Seizure Prediction using Temporal and Frequency Features
Abdul Aleem Shaik Gadda
Tuesday May 23, 2023 09:15 - 09:30 G2
MIE: Health information systems, English, Pre-recorded + On-site, Presentation, Advanced
Nationally shared medication lists – describing systems in the Nordic countries
Tora Hammar, Trine Bergmo, Unn Sollid Manskow, Anette Vik Jøsendal
Tuesday May 23, 2023 14:00 - 14:15 G1
MIE: Health information systems, English, On site only, Presentation, Advanced
DeepTSE: A time-sensitive Deep Embedding of ICU Data for Patient Modeling and Missing Data Imputation
Michael Fujarski
Tuesday May 23, 2023 14:30 - 14:45 G3
MIE: Health information systems, English, On site only, Presentation, Advanced
Towards a Consistent Representation of Contradictions within Health Data for Efficient Implementation of Data Quality Assessments
Dagmar Krefting, Khalid Olusola Yusuf
Thursday May 25, 2023 09:00 - 09:15 G3
MIE: Health information systems, English, On site only, Presentation, Advanced
Low Valence Low Arousal stimuli: An Effective Candidate for EEG-based Biometrics Authentication System
Jahanvi Jeswani, Praveen Kumar Govarthan, Tikaram
Tuesday May 23, 2023 14:15 - 14:30 G1
MIE: Health information systems, English, Pre-recorded + On-site, Presentation, Tools for implementation, Introductory, Researchers, Students, Healthcare professionals, Innovation/research
Electroencephalography (EEG) has recently gained popularity in user authentication systems since it is unique and less impacted by fraudulent interceptions. Although EEG is known to be sensitive to emotions, understanding the stability of brain responses to EEG-based authentication systems is challenging. In this study, we compared the effect of different emotion stimuli for the application in the EEG-based biometrics system (EBS). Initially, we pre-processed audio-visual evoked EEG potentials from the ‘A Database for Emotion Analysis using Physiological Signals’ (DEAP) dataset. A total of 21 time-domain and 33 frequency-domain features were extracted from the considered EEG signals in response to Low valence Low arousal (LVLA) and High valence low arousal (HVLA) stimuli. These features were fed as input to an XGBoost classifier to evaluate the performance and identify the significant features. The model performance was validated using leave-one-out cross-validation. The pipeline achieved high performance with multiclass accuracy of 80.97% and a binary-class accuracy of 99.41% with LVLA stimuli. In addition, it also achieved recall, precision and F-measure scores of 80.97%, 81.58% and 80.95%, respectively. For both the cases of LVLA and LVHA, skewness was the stand-out feature. We conclude that boring stimuli (negative experience) that fall under the LVLA category can elicit a more unique neuronal response than its counterpart the LVHA (positive experience). Thus, the proposed pipeline involving LVLA stimuli could be a potential authentication technique in security applications.
GREEK HOSPITAL DATA MINING AND ANALYSIS
Haralampos Karanikas, Maria Chintiroglou
Tuesday May 23, 2023 09:30 - 09:45 G2
MIE: Health information systems, English, On site only, Presentation, Advanced
Patient Registration Work of Medical Secretaries in the Era of Data-Driven Healthcare
Casper Knudsen
Tuesday May 23, 2023 14:45 - 15:00 G3
MIE: Health information systems, English, On site only, Presentation, Advanced