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.
Sök enkelt i programmet
Du kan välja att söka på ämne, föreläsningstyp, målgrupp eller tid för att enkelt hitta det du är intresserad av genom att klicka på knappen "Fler sökalternativ".
Du kan också välja något av de tematiska spåren med föreläsningar som håller en röd tråd.
Ett tredjesätt är att klicka på knappen Schema för visa en översikt av föreläsningarna per föreläsningssal.
Registrera dig till konferensen | Vitalis
Spår: MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation
Alla programpunkterAn Annotation Workbench for semantic annotation of data collection instruments
Julia Sasse
Torsdag 25 maj 2023 11:15 - 11:30 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Presentation, Avancerad
Short introduction to the National Research Data Infrastructure for Personal Health Data (NFDI4Health) and proposed solutions towards findability and interoperability of clinical and epidemiological studies. Two services will be presented: the German Central Health Study Hub to support the findability of studies and the Metadata Annotation Workbench to support enrichment of data collection instruments with standardized vocabularies on the study item level.
An open source solution for smart infection control based on an interoperability standard
Pascal Biermann
Onsdag 24 maj 2023 10:35 - 11:05 Open Seminar Area
Open Seminar Area, MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Annat, Avancerad
A demonstration of an open source software prototype for improving infection control in hospitals called Smart Infection Control System (SmICS). It provides services for tracing contacts between patients, showing in-depth details for microbiological findings, patients movements and wards and offers epidemiological curves without having a vendor-dependent data storage within the application, because it is fully based upon an open interoperability standard (openEHR).
A Novel Platform for Widespread Hearing Impairment Screening and PrEvention of Risk (WHISPER)
Alessia Paglialonga, Marta Lenatti
Tisdag 23 maj 2023 10:00 - 10:30 Open Seminar Area
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, Open Seminar Area, English, Enbart på plats, Annat, Verktyg för implementering, Introduktion, Chef/Beslutsfattare, Politiker, Tekniker/IT/Utvecklare, Forskare (även studerande), Studerande, Omsorgspersonal, Vårdpersonal, Patientorganisationer/Brukarorganisationer, Nytta/effekt, Personcentrering, Innovativ/forskning, Test/validering, Appar
The MIE conference has always been a hub for innovation and cutting-edge technology. This year was no exception several demonstrators showcase their unique solutions to healthcare problems. Use the opportunity to take a closer look at some of the most striking demonstrators present at the conference, highlighting their diversity and the potential impact they could have on various healthcare-related challenges
Application of process mining for modelling small cell lung cancer prognosis
Luca Marzano
Torsdag 25 maj 2023 11:10 - 11:25 G2
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Presentation, Verktyg för implementering, Avancerad, Tekniker/IT/Utvecklare, Forskare (även studerande), Studerande, Vårdpersonal, Exempel från verkligheten (goda/dåliga), Innovativ/forskning
Process mining is a relatively new method that connects data science and process modelling. In the past years a series of applications with health care production data have been presented in process discovery, conformance check and system enhancement. In this paper we apply process mining on clinical oncological data with the purpose of studying survival outcomes and chemotherapy treatment decision in a real-world cohort of small cell lung cancer patients treated at Karolinska University Hospital (Stockholm, Sweden). The results highlighted the potential role of process mining in oncology to study prognosis and survival outcomes with longitudinal models directly extracted from clinical data derived from healthcare.
Assessing the FAIRness of Deep Learning Models in Cardiovascular Disease using Computed Tomography Images: Data and Code Perspective
Kirubel Biruk Shiferaw
Torsdag 25 maj 2023 08:45 - 09:00 G2
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Presentation, Avancerad
Automated ICF Coding of Rehabilitation Notes for Low-Resource Languages via Continual Training of Language Models
Vincenzo Della Mea
Torsdag 25 maj 2023 12:45 - 13:00 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Presentation, Avancerad
Automatic Outlier Detection in Laboratory Result Distributions within a Real World Data Network
Aida Muñoz Monjas
Torsdag 25 maj 2023 09:15 - 09:30 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Presentation, Avancerad
Breaking Barriers for Interoperability: A Reference Implementation of CSV-FHIR Transformation using open-source tools
Samer Alkarkoukly
Torsdag 25 maj 2023 10:45 - 11:00 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Presentation, Avancerad
CANCELLED: German Claims Data for Real-World Research: Content Coverage Evaluation in OMOP CDM
Elisa Henke
Torsdag 25 maj 2023 08:30 - 08:45 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Presentation, Avancerad
CANCELLED.
Research on real-world data is becoming increasingly important. The current restriction to clinical data in Germany limits the view of the patient. To gain comprehensive insights, claims data can be added to the existing knowledge. However, standardized transfer of German claims data into OMOP CDM is currently not possible. In this paper, we conducted an evaluation regarding the coverage of source vocabularies and data elements of German claims data in OMOP CDM. We point out the need to extend vocabularies and mappings to support research on German claims data.
Can Patient Contributed Data (PCD) leverage connected health technology for cardiac rehabilitation in Austria?
Rada Hussein
Torsdag 25 maj 2023 12:45 - 13:00 G2
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Presentation, Avancerad
CAPSML: Bridging the Gap Between Clinicians, Lived Experience Experts, and Artificial Intelligence Systems for Glucose Regulation in Type 1 Diabetes
Chirath Hettiarachchi
Onsdag 24 maj 2023 10:05 - 10:35 Open Seminar Area
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, Open Seminar Area, English, Förinspelat + På plats, Annat, Avancerad
The MIE conference has always been a hub for innovation and cutting-edge technology. This year was no exception several demonstrators showcase their unique solutions to healthcare problems. Use the opportunity to take a closer look at some of the most striking demonstrators present at the conference, highlighting their diversity and the potential impact they could have on various healthcare-related challenges
Classification of Parkinson’s Disease from Voice - Analysis of Data Selection Bias
Alexander Brenner
Torsdag 25 maj 2023 11:30 - 11:35 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Presentation, Avancerad
CliniDeID, an Open Source Solution for Accurate Clinical Text De-Identification
Stephane Meystre
Onsdag 24 maj 2023 11:05 - 11:35 Open Seminar Area
Open Seminar Area, MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Annat, Avancerad
The automatic de-identification of clinical narrative text offers efficient patient data privacy protection and eases reuse of clinical data. CliniDeID applies an ensemble method combining deep and shallow machine learning with rule-based algorithms and is released as free and open-source solution to de-identify unstructured clinical text with high accuracy. It was recently evaluated with a selection of clinical text corpora and reached high sensitivity and positive predictive value.
Comparative Analysis of Electrodermal activity Decomposition Methods in Emotion Detection using Machine Learning
Praveen Kumar Govarthan, SRIRAM KUMAR P, Tikaram
Torsdag 25 maj 2023 13:15 - 13:30 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Förinspelat + På plats, Presentation, Avancerad
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.
Cross Organizational Health Data Sharing Using the Data Sharing Framework
Hauke Hund, Maximilian Kurscheidt, Simon Mödinger, Simon Schweizer
Måndag 22 maj 2023 10:00 - 14:00 R11
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Annat, Avancerad
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
Demonstrating Privacy Preserving Analysis Using vantage6
Djura Smits, Florian Van Daalen
Tisdag 23 maj 2023 10:30 - 11:00 Open Seminar Area
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, Open Seminar Area, English, Enbart på plats, Annat, Avancerad
The MIE conference has always been a hub for innovation and cutting-edge technology. This year was no exception several demonstrators showcase their unique solutions to healthcare problems. Use the opportunity to take a closer look at some of the most striking demonstrators present at the conference, highlighting their diversity and the potential impact they could have on various healthcare-related challenges
Digital citizen services, digital health literacy and more relevant health information to drive patient engagement
Anne Moen, Lene Lunde, Petter Hurlen, Sigurd Maurud
Tisdag 23 maj 2023 10:15 - 11:45 G4
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Panel, Avancerad
It is an obvious paradox that we as citizens, present in all clinical health encounters, lack tools to take full advantage of ongoing digital transformation in health care. In this panel we will discuss user needs and design of digital tool to improve access to personally relevant health information from trusted sources. Of special interest is adherence to treatment. The attendees can learn about opportunities to “collect, curate and control” relevant, personal health information, and digital services for personal health data and access trustworthy, up-to-date information that better meet situated, everyday needs.
Does using a stacking ensemble method to combine multiple base learners within a database improve model transportability?
Cynthia Yang
Torsdag 25 maj 2023 09:30 - 09:35 G1
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Presentation, Avancerad
Examining efforts to optimize data sharing for brain health: From global data democratization to collaborative analysis environments
Maryan Zirkle, Ardi Kolah, Kimon Kotronis, Lee Lancashire
Torsdag 25 maj 2023 08:30 - 09:45 G4
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Panel, Avancerad
Federated and distributed medical research – Fortune or misfortune? Pro and con session
Anne Moen, Rainer Röhrig, Gro Berntsen, Johan Gustav Bellika, Jonas Bienzeisler
Torsdag 25 maj 2023 10:15 - 11:45 G4
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, Enbart på plats, Panel, Avancerad