Abstract
Data from consumer-based devices for collecting personal health-related data could be useful in diagnostics and treatment. This requires a flexible and scalable software and system architecture to handle the data. This study examines the existing mSpider platform, addresses shortcomings in security and development, and suggests a full risk analysis, a more loosely coupled component- based system for long term stability, better scalability, and maintainability. The goal is to create a human digital twin platform for an operational production environment.
| Original language | English |
|---|---|
| Title of host publication | Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023 |
| Editors | Maria Hagglund, Madeleine Blusi, Stefano Bonacina, Lina Nilsson, Inge Cort Madsen, Sylvia Pelayo, Anne Moen, Arriel Benis, Lars Lindskold, Parisis Gallos |
| Publisher | IOS Press BV |
| Pages | 841-845 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781643683881 |
| DOIs | |
| State | Published - 18 May 2023 |
| Externally published | Yes |
| Event | 33rd Medical Informatics Europe Conference: Caring is Sharing - Exploiting the Value in Data for Health and Innovation, MIE2023 - Gothenburg, Sweden Duration: 22 May 2023 → 25 May 2023 |
Publication series
| Name | Studies in Health Technology and Informatics |
|---|---|
| Volume | 302 |
| ISSN (Print) | 0926-9630 |
| ISSN (Electronic) | 1879-8365 |
Conference
| Conference | 33rd Medical Informatics Europe Conference: Caring is Sharing - Exploiting the Value in Data for Health and Innovation, MIE2023 |
|---|---|
| Country/Territory | Sweden |
| City | Gothenburg |
| Period | 22/05/23 → 25/05/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Keywords
- Human Digital Twin
- Infrastructure
- Scalability
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