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Digiphysical Approach in Post-COVID Rehabilitation: Process-Oriented Tool Support and Solution Patterns
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.ORCID iD: 0000-0003-3290-2597
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.ORCID iD: 0000-0001-9044-5836
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.ORCID iD: 0000-0002-3166-1640
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Number of Authors: 72025 (English)In: Complex Systems Informatics and Modeling Quarterly, E-ISSN 2255-9922, Vol. 2025, no 42, p. 1-21Article in journal (Refereed) Published
Abstract [en]

Individuals suffering from long-term cognitive impairments following COVID-19 engage in a wide range of activities throughout their cognitive rehabilitation journey. This journey may include diagnostic assessments, therapeutic interventions, administrative coordination, and self-managed rehabilitation tasks. To effectively support and enhance such multifaceted rehabilitation processes, a digiphysical approach – which integrates digital and physical components – offers a promising solution. This article presents a process-oriented prototype based on the digiphysical approach, designed to bridge clinical and administrative tasks while combining digital and physical interventions. The article also reports findings from an initial evaluation of the prototype conducted with key rehabilitation professionals as respondents. Furthermore, five reusable solution patterns for implementing digiphysical rehabilitation are presented. These patterns are intended to be applicable not only in the studied context but also to support other care providers and organizations aiming to develop or enhance digiphysical rehabilitation services.

Place, publisher, year, edition, pages
2025. Vol. 2025, no 42, p. 1-21
Keywords [en]
Cognitive Impairments, COVID-19, Digiphysical Approach, Digital Healthcare, Model-Based Development, Process-Oriented Tool, Rehabilitation Process, Reusable Solution Patterns
National Category
Health Care Service and Management, Health Policy and Services and Health Economy
Identifiers
URN: urn:nbn:se:su:diva-244007DOI: 10.7250/csimq.2025-42.01Scopus ID: 2-s2.0-105005158750OAI: oai:DiVA.org:su-244007DiVA, id: diva2:1966562
Available from: 2025-06-10 Created: 2025-06-10 Last updated: 2025-06-16Bibliographically approved

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Henkel, MartinPerjons, ErikFors, Uno

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