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
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
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.
Digital disease surveillance for emerging infectious diseases: an early warning system using the internet and social media data for COVID-19 forecasting in Canada
Yang Yang
Onsdag 24 maj 2023 10:45 - 11:00 G4
MIE: Public Health and Epidemiology Informatics, English, Enbart på plats, Presentation, Avancerad
Digital health data capture with a controlled natural language
Kristian Juha Ismo Kankainen
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
Digital Information Management for Advanced Practice Nursing: Needs Assessment
Laura-Maria Peltonen
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
Digital Skills Among Elderly Care Workers
Johanna Ikonen
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
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
Domain Knowledge-Driven Generation of Synthetic Healthcare Data
Atiye Sadat Hashemi
Tisdag 23 maj 2023 11:20 - 11:25 G2
MIE: Patient records, English, Enbart på plats, Presentation, Avancerad
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, Enbart på plats, Poster, Avancerad
Effects of Ankle-Foot Orthosis on Balance of Foot Drop Patients
Federica Amitrano
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
E-learning as part of Residency Education: Literature Review and Lessons Learned
Helena Vallo Hult
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad
Electromagnetic fields literature analysis for precision medicine
Guillermo Lopez Campos
Poster Area
MIE: Posters, English, Enbart på plats, Poster, Avancerad