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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Registrera dig till konferensen | Vitalis
Spår
Data Quality Assessment for Observational Medical Outcomes Partnership Common Data Model of Multi-Center
Inyoung Choi, WONA CHOI
Torsdag 25 maj 2023 09:30 - 09:45 G3
MIE: Health information systems, English, Enbart på plats, Presentation, Avancerad
Data Sharing Platform for MIMIC-IV and MIMIC-ED Data Marts: Designing a Data Retrieving System based on the Intra‑hospital Patient Transfer Pathway
Sharareh Rostam Niakan Kalhori
Tisdag 23 maj 2023 11:30 - 11:45 G3
English, Enbart på plats, Presentation, Avancerad
Decision support for enhanced all-context shared decision making and generic decisional competence
JACK DOWIE
Torsdag 25 maj 2023 10:15 - 11:45 R23
MIE: Decision support, English, Enbart på plats, Workshop, Avancerad
Decision support for signal assessment of large case series in pharmacovigilance
James Barrett
Onsdag 24 maj 2023 11:35 - 11:40 G3
MIE: Decision support, English, Förinspelat + På plats, Presentation, Avancerad
Deep Learning Method for estimation of morphological parameters based on CT Scans
RAJARAJESWARI GANESAN
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
DeepTSE: A time-sensitive Deep Embedding of ICU Data for Patient Modeling and Missing Data Imputation
Michael Fujarski
Tisdag 23 maj 2023 14:30 - 14:45 G3
MIE: Health information systems, English, Enbart på plats, Presentation, Avancerad
Definition, Composition, and Harmonization of Core Datasets within the German Center for Lung Research
Mark Stöhr
Tisdag 23 maj 2023 08:30 - 08:45 G1
MIE: Knowledge and Information representation and modeling, English, Enbart på plats, Presentation, Avancerad
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
Description of a French Population of Diabetics Treated Followed up by General Practitioners.
Fruchart Mathilde, Paul Quindroit, Antoine Lamer
Onsdag 24 maj 2023 16:00 - 16:15 G4
English, Enbart på plats, Presentation, Avancerad
Designing a Persuasive E-Coaching Application for Informal Caregivers
Åsa Cajander
Onsdag 24 maj 2023 15:45 - 16:00 G2
MIE: Telehealth, English, Enbart på plats, Presentation, Avancerad
Design Thinking for Digital Health Solutions: Empowering Medical Informatics Students
Liesbeth Van Den Berg, Linda Peute
Onsdag 24 maj 2023 10:15 - 11:45 R22
MIE: Education, English, Enbart på plats, Workshop, Avancerad
The integration of design thinking into medical informatics education is essential for development of innovative and effective health information technologies in our work domain. Design thinking is a problem-solving approach which focuses on understanding complex user needs and creating innovative solutions befitting those complex needs. It is a widely used approach for developing user-centered products and services, and distils creative methodologies to improve usability and effectiveness of health information systems.
This workshop discusses use cases for design thinking in medical informatics education, provides an overview of the lessons learned of incorporating design thinking into the curriculum, and will challenge the audience to experiment with two of the design thinking phases. The workshop also outlines the implications of design thinking for medical informatics educators, students and our work field, and provides suggestions for incorporating design thinking into existing medical informatics programs.
Developing a Comprehensive Search Strategy for the Systematic Review of Clinical Decision Support Systems for Nursing Practice
Cynthia ABI KHALIL
Torsdag 25 maj 2023 10:15 - 10:30 G2
MIE: Decision support, English, Enbart på plats, Presentation, Avancerad
In order to build the best query to guide the literature search on clinical decision support systems applied to nursing clinical practice, we developed an iterative process capitalizing on previous systematic reviews published on similar topics
Development of a Command Line Interface for the Analysis of Result Sets from Automated Queries to Literature Databases
Tobias Brix
Tisdag 23 maj 2023 08:30 - 08:45 G2
MIE: Health information systems, English, Enbart på plats, Presentation, Avancerad
Development of a Taxonomy on Participatory Health Informatics: Concepts and Categories Definition
Kerstin Denecke, Guillermo Lopez Campos, Elia Gabarron, Octavio Rivera
Tisdag 23 maj 2023 10:15 - 11:45 J2
MIE: Citizen health informatics, English, Enbart på plats, Workshop, Avancerad
Development of OSOMO prompt Mobile Application on Elderly population for Village Health Volunteers using the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) Model
Niruwan Turnbull
Onsdag 24 maj 2023 09:00 - 09:15 G2
English, Enbart på plats, Presentation, Avancerad
Development of Verified Innovation Process for Healthcare Solutions (VIPHS) – a Stepwise Model for Digital Health
Eunji Lee
Onsdag 24 maj 2023 09:15 - 09:30 G3
MIE: Knowledge and Information representation and modeling, English, Enbart på plats, Presentation, Avancerad
Diagnosis classification in the emergency room using natural language processing
Marieke Van Buchem
Onsdag 24 maj 2023 09:35 - 09:40 G3
MIE: Knowledge and Information representation and modeling, English, Enbart på plats, Presentation, Avancerad
Diagnosis support for rare diseases using phenotypic profiles
Richard Noll
Torsdag 25 maj 2023 11:05 - 11:10 G2
MIE: Decision support, English, Enbart på plats, Presentation, Avancerad
Questions or else: richard.noll@kgu.de
Differential Gene Expression Data Analysis of ASD using Random Forest
Tikaram, Pragya p, Praveen Kumar Govarthan, Sudip Mukherjee
Tisdag 23 maj 2023 10:45 - 11:00 G1
MIE: Bioinformatics, English, Förinspelat + På plats, Presentation, Verktyg för implementering, Avancerad, Forskare (även studerande), Studerande, Vårdpersonal, Nytta/effekt, Innovativ/forskning
Autism spectrum disorder (ASD) is a developmental disability caused by differences in the brain regions. Analysis of differential expression (DE) of transcriptomic data allows for genome-wide analysis of gene expression changes related to ASD. De-novo mutations may play a vital role in ASD, but the list of genes involved is still far from complete. Differentially expressed genes (DEGs) are treated as candidate biomarkers and a small set of DEGs might be identified as biomarkers using either biological knowledge or data-driven approaches like machine learning and statistical analysis. In this study, we employed a machine learning-based approach to identify the differential gene expression between ASD and Typical Development (TD). The gene expression data of 15 ASD and 15 TD were obtained from NCBI GEO database. Initially, we extracted the data and used a standard pipeline to preprocess the data. Further, Random Forest (RF) was used to discriminate genes between ASD and TD. We identified the top 10 prominent differential genes and compared them with the statistical test results. Our results show that the proposed RF model yields 5-fold cross-validation accuracy, sensitivity and specificity of 96.67%. Further, we obtained precision and F-measure scores of 97.5% and 96.57%, respectively. Moreover, we found 34 unique DEG chromosomal locations having influential contributions in identifying ASD from TD. We have also identified chr3:113322718-113322659 as the most significant contributing chromosomal location in discriminating ASD and TD. Our machine learning-based method of refining DE analysis is promising for finding biomarkers from gene expression profiles and prioritizing DEGs. Moreover, our study reported top-10 gene signatures for ASD may facilitate the development of reliable diagnosis and prognosis biomarkers for screening ASD.Keywords: Gene expression data, NCBI, Autism Spectrum Disorder, Random Forest, Statistical test
DiGA - The German Reimbursement process for Digital Health
Mattias Kyhlstedt
Onsdag 24 maj 2023 14:45 - 15:00 F5
Reimbursement and market access for digital solutions , English, Orientering, Introduktion, Chef/Beslutsfattare, Politiker, Verksamhetsutveckling, Exempel från verkligheten (goda/dåliga), Nytta/effekt, Appar
The German DiGA process has raised international interest, with more than 30 digital solutions which has received temporary or permanent reimbursement. In this session there will be an overview of the process and summary of how the insurance companies see the process. What can we learn from their experience?