Ubiquitous digital health-related data: clarification of concepts

Johannessen, Erlend; Henriksen, André; Hartvigsen, Gunnar; Horsch, Alexander; Årsand, Eirik; Johansson, Jonas

doi:10.3384/ecp187009

Cited by 2 publications

(2 citation statements)

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“…Data collected are intended to be heterogeneous and the system should store as diverse and plentiful data as practically possible. The next version of mSpider should be expanded so that it covers more data types (e.g., pulse, sleep, temperature, body composition) and makes a low-resolution human digital twin [5] possible.…”

Section: Discussionmentioning

confidence: 99%

“…A human digital twin is maybe not fully realisable at the moment, but there is potential for creating small-scale human digital twins today, by joining different types of data from digital services and sources. The ambition aim is to add more data types and more data sources to the mSpider system, in order to approach a human digital twin system [5,6].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Health Research Requires Efficient Platforms for Data Collection from Personal Devices

Johannessen

Henriksen

Årsand

et al. 2023

Caring Is Sharing – Exploiting the Value in Data for Health and Innovation

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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.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%