Effectiveness of using a specialized digital solution to detect written speech disorders in adult patients undergoing speech therapy
DOI:
https://doi.org/10.33910/1992-6464-2025-216-96-104Keywords:
aphasia, active written speech, secondary written speech disorders, iLogoped software, medical and speech therapy diagnostics, rehabilitationAbstract
Introduction. Patients suffering from the consequences of an acute cerebrovascular accident exhibit variable and heterogeneous written speech disorders, reflecting the complex nature of aphasia and affecting their overall communicative abilities. This article emphasizes the importance of introducing digital tools to optimize speech therapists’ diagnostics and enhance the engagement of patients with limited mobility in the rehabilitation process.
Materials and Methods. A key aspect of evaluating communicative abilities in patients with aphasia is the possibility to conduct remote examinations of active written speech, allowing handwriting samples to be transmitted to specialists in real time. This article presents a program developed by the authors to detect written speech disorders both offline (i.e., using traditional paper-based methods) and online (remotely, via specialized software). The online version was developed on the Mobiorg mobile platform and is accessible through a graphic tablet equipped with an electronic stylus. The program incorporates original texts and illustrative materials. Both versions were tested during the rehabilitation of 110 patients affected by acute cerebrovascular accidents at the Federal Center of Brain Research and Neurotechnologies of the Federal Medical and Biological Agency of Russia. The offline (paper-based) and online (digital) versions were compared using such criteria as labor costs, content, compactness, effectiveness, sensitivity, and accessibility.
Results. The specialized digital solution not only optimizes the process of collecting handwriting samples, but also improves the accuracy and efficiency of their assessment. The development and implementation of this digital diagnostic tool help overcome the challenges associates with patients’ physical distance from rehabilitation centers, enabling continuous support throughout the lengthy process of recovering impaired functions.
Conclusions. This study demonstrates the potential of digital technologies to enhance patient engagement in the rehabilitation process and to optimize the diagnostics of written speech in adult patients affected by the consequences of acute cerebrovascular accidents.
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