Assistive Digital Technologies for Adherence Monitoring and Evaluation Using Multimodal Patient Data

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F25%3A00388007" target="_blank" >RIV/68407700:21460/25:00388007 - isvavai.cz</a>
Result on the web
<a href="https://www.grantjournal.com/issue/1402/PDF/1402buchtelova.pdf" target="_blank" >https://www.grantjournal.com/issue/1402/PDF/1402buchtelova.pdf</a>
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Assistive Digital Technologies for Adherence Monitoring and Evaluation Using Multimodal Patient Data
Original language description
Adherence to therapeutic recommendations is a key determinant of treatment effectiveness across medical disciplines, yet its reliable assessment remains challenging in real-world settings. This paper presents an assistive digital framework for adherence monitoring and evaluation based on multimodal patient- generated data. The proposed system integrates wearable-derived physiological data, mobile self-reported behavioral inputs, and contextual clinical information into a unified assessment pipeline. An interpretable algorithmic approach combining categorical evaluation, normalization, and weighted aggregation is introduced to quantify daily adherence. The framework emphasizes transparency, flexibility, and practical usability rather than black-box prediction models. Pilot study confirmed technical feasibility, reliable data integration, and high user acceptance, supporting the applicability of the approach in real-world conditions.
Czech name
—
Czech description
—

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)