ArticleLife (Basel, Switzerland)2024
Perspectives of Decision Support System TeleRehab in the Management of Post-Stroke Telerehabilitation.
Article in Life (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Artificial intelligence in nephrology: predicting CKD progression and personalizing treatment.International urology and nephrology · 2026Review
- From GLIM diagnosis to "nutrition-intelligent" stroke rehabilitation: implementation priorities after Bahat et al.Irish journal of medical science · 2026Article
- Physiotherapist Online Assessment in Patients with Stroke: Protocol for a Systematic Review and Meta-Analysis.Journal of clinical medicine · 2025Article
- Feasibility of Intensive Multidisciplinary Telerehabilitation Combined with Health Coaching for Underserved Stroke Survivors: A Pilot Study.Telemedicine reports · 2025Article
- Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Stroke is the main cause of disability among adults. Decision-making in stroke rehabilitation is increasingly complex; therefore, the use of decision support systems by healthcare providers is becoming a necessity. However, there is a significant lack of software for the management of post-stroke telerehabilitation (TR). This paper presents the results of the developed software "TeleRehab" to support the decision-making of clinicians and healthcare providers in post-stroke TR. We designed a Python-based software with a graphical user interface to manage post-stroke TR. We searched Scopus, ScienceDirect, and PubMed databases to obtain research papers with results of clinical trials for post-stroke TR and to form the knowledge base of the software. The findings show that TeleRehab suggests recommendations for TR to provide practitioners with optimal and real-time support. We observed feasible outcomes of the software based on synthetic data of patients with balance problems, spatial neglect, and upper and lower extremities dysfunctions. Also, the software demonstrated excellent usability and acceptability scores among healthcare professionals.
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