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.
Register for conference | Vitalis - English
Track
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
How do informaticians and IT-architects collaborate, or not?
Anna Rossander
Tuesday May 23, 2023 09:15 - 09:30 G3
MIE: Human Factors and organizational issues, English, On site only, Presentation, Other, Advanced, Management/decision makers, Organizational development, Technicians/IT/Developers, Researchers, Actual examples (good/bad), Education (verification), Management, Innovation/research
Despite years of work from both informaticians and IT-architects interoperability within healthcare is still low. This explorative case study performed on a well-staffed public health care provider shows that the involved roles were unclear, processes did not include each other, and that tooling was incompatible.However, interest in collaboration was high and technical advances and inhouse development were seen as incentives for increased collaboration.
What are we talking about when we talk about information-driven care? A Delphi-study on a definition
Elin Siira, Jens Nygren, Petra Svedberg
Tuesday May 23, 2023 09:30 - 09:35 G1
MIE: Knowledge and Information representation and modeling, English, On site only, Presentation, Advanced
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
Ethical Perspectives on Implementing AI to Predict Mortality Risk in Emergency Department Patients – A Qualitative Study
Lena Petersson
Tuesday May 23, 2023 09:30 - 09:35 G3
MIE: Human Factors and organizational issues, English, On site only, Presentation, Advanced
Swiss Personalized Health Network- SPHN Schema Forge
Sabine Österle
Tuesday May 23, 2023 09:30 - 10:00 Open Seminar Area
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Other, Advanced
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
A Novel Platform for Widespread Hearing Impairment Screening and PrEvention of Risk (WHISPER)
Alessia Paglialonga, Marta Lenatti
Tuesday May 23, 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, On site only, Other, Tools for implementation, Introductory, Management/decision makers, Politicians, Technicians/IT/Developers, Researchers, Students, Care professionals, Healthcare professionals, Patient/user organizations, Benefits/effects, Patient centration, Innovation/research, Test/validation, Apps
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
Improving patient similarity using different modalities of phenotypes extracted from clinical narratives
XIAOYI CHEN
Tuesday May 23, 2023 10:15 - 10:30 G1
MIE: Bioinformatics, English, On site only, Presentation, Advanced
How to Represent the Patient Voice in the Electronic Health Record?
Gro-Hilde Severinsen
Tuesday May 23, 2023 10:15 - 10:30 G2
MIE: Patient records, English, On site only, Presentation, Advanced
Me-to-We Design: A Blueprint for Enriching Welfare Technologies
Mika Yasuoka
Tuesday May 23, 2023 10:15 - 10:30 G3
English, Pre-recorded + On-site, Presentation, Advanced
Digital citizen services, digital health literacy and more relevant health information to drive patient engagement
Anne Moen, Lene Lunde, Petter Hurlen, Sigurd Maurud
Tuesday May 23, 2023 10:15 - 11:45 G4
MIE: Special Topic: Caring is Sharing - exploiting value in data for health and innovation, English, On site only, Panel, Advanced
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.
Development of a Taxonomy on Participatory Health Informatics: Concepts and Categories Definition
Kerstin Denecke, Guillermo Lopez Campos, Elia Gabarron, Octavio Rivera
Tuesday May 23, 2023 10:15 - 11:45 J2
MIE: Citizen health informatics, English, On site only, Workshop, Advanced
CANCELLED: Towards certification of clinical informaticians
Anders Thurin
Tuesday May 23, 2023 10:15 - 11:45 R22
MIE: Education, English, On site only, Workshop, Advanced
The workshop is cancelled.
How to use the System Engineering Initiative for Patient Safety (SEIPS) to make Healthcare more Sustainable?
Valentina Lichtner, Romaric Marcilly, Thomas Engelsma, Linda Peute
Tuesday May 23, 2023 10:15 - 11:45 R23
MIE: Human Factors and organizational issues, English, On site only, Workshop, Advanced
OmicSDK-transcriptomics: A web platform for Transcriptomics Data Analysis
AURORA MARIA SUCRE
Tuesday May 23, 2023 10:30 - 10:45 G1
MIE: Bioinformatics, English, On site only, Presentation, Advanced
Social Determinants of Health Data Quality at Different Levels of Geographic Detail
Melody Greer
Tuesday May 23, 2023 10:30 - 10:45 G2
MIE: Patient records, 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.
Demonstrating Privacy Preserving Analysis Using vantage6
Djura Smits, Florian Van Daalen
Tuesday May 23, 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, On site only, Other, Advanced
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
Differential Gene Expression Data Analysis of ASD using Random Forest
Tikaram, Pragya p, Praveen Kumar Govarthan, Sudip Mukherjee
Tuesday May 23, 2023 10:45 - 11:00 G1
MIE: Bioinformatics, English, Pre-recorded + On-site, Presentation, Tools for implementation, Advanced, Researchers, Students, Healthcare professionals, Benefits/effects, Innovation/research
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
Adolescents identifying errors and omissions in their electronic health records: National survey
Josefin Hagström
Tuesday May 23, 2023 10:45 - 11:00 G2
MIE: Patient records, English, On site only, Presentation, Other, Advanced, Management/decision makers, Politicians, Organizational development, Technicians/IT/Developers, Researchers, Students, Care professionals, Healthcare professionals, Patient/user organizations, Actual examples (good/bad), Patient centration, Innovation/research, Patient safety, Usability, Ethics
Patient accessible electronic health records (PAEHRs) have been proposed as a means to improve patient safety and documentation quality, as patients become an additional source to detect mistakes in the records. In pediatric care, healthcare professionals (HCP) have noted a benefit of parent proxy users correcting errors in their child’s records. However, the potential of adolescents has so far been overlooked, despite reports of reading records to ensure accuracy. The present study examines errors and omissions identified by adolescents, and whether patients reported following up with HCPs. Survey data was collected during three weeks in January and February 2022 via the Swedish national PAEHR. Of 218 adolescent respondents, 60 reported having found an error (27.5%) and 44 (20.2%) had found missing information. Most adolescents did not take any action upon identifying an error or an omission (64.0%). Omissions were more often perceived as serious than errors. These findings call for development of policy and PAEHR design that facilitates reports of errors and omissions for adolescents, which could both improve trust and support the individual’s transition into an involved and engaged adult patient.