Using One App Only - Collecting a Comprehensive Set of Health-Related Data for Prevention of Chronic Conditions

This paper presents the design, implementation and early tests of an app that collects a comprehensive set of health-related data, as part of the EU-project WARIFA. To achieve the main aim of the project - using AI to prevent chronic conditions - a wide range of data needs to be collected and stored...

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Bibliographic Details
Published inStudies in health technology and informatics Vol. 316; p. 247
Main Authors Årsand, Eirik, Muzny, Miroslav, Rishaug, Tina, Wägner, Anna M, Betancort, Carmelo, Granja, Conceição, Soguero-Ruiz, Cristina, Hartvigsen, Gunnar, Namolosanu, Mihai, Rinnetmäki, Mikael, Henriksen, André
Format Journal Article
LanguageEnglish
Published Netherlands 22.08.2024
Subjects
Artificial Intelligence
Chronic Disease - prevention & control
Computer Security
Data Collection
Humans
Mobile Applications
disease detection
AI
mHealth
data collection
eHealth
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Summary:This paper presents the design, implementation and early tests of an app that collects a comprehensive set of health-related data, as part of the EU-project WARIFA. To achieve the main aim of the project - using AI to prevent chronic conditions - a wide range of data needs to be collected and stored at a backend server for processing. The methods and elements for creating this system are presented, as well as results from the co-creation process and early user-tests. Challenges regarding complexity, security, and privacy are discussed, as well as the needs and prospectives for easier ways of collecting health-related data.
ISSN:1879-8365