Sistema de trazabilidad clínica y reportería automatizada para el seguimiento de terapias fonológicas infantiles

Abstract

The longitudinal monitoring of children’s phonological therapies faces a significant limitation: the reliance on manual recording, which hinders effective clinical traceability and creates an excessive administrative burden for therapists. To address this, the present research presents the development of a Digital Clinical Tracking System (SDSC) designed to consolidate session data and automate report generation. Through a requirements analysis conducted with ten specialists (speech therapists and pedagogues), it was confirmed that traditional methods lack the precision necessary to objectively monitor patient progress. From a technical standpoint, an API-driven architecture was implemented. The system captures real-time data—such as reaction times, error typology, and syllabic complexity - organizing it into a centralized repository. As an innovation, the analysis engine was configured using the normative scales of the CELF-5 clinical instrument. This allows patient performance to be converted into precise clinical indicators, such as the Growth Scale Value (GSV) and percentile ranks, mathematically quantifying improvements in linguistic competencies. Finally, the software generates interactive dashboards and automated reports using natural language generation algorithms. This technological solution eliminates medical record fragmentation and reduces administrative latency, providing professionals with a solid statistical foundation to optimize evidence-based decision-making and improve longitudinal patient follow-up.