Early diagnosis of Autism Spectrum Disorder (ASD) is critical for implementing strategies that reduce symptoms and improve quality of life. However, the Psychoeducational Profile (PEP-3), commonly used in ASD assessment, presents significant challenges due to its time-intensive post-processing and manual result recording, which hinders efficient historical analysis. This paper introduces an app that utilizes cloud services to digitally transform the PEP-3 assessment process, offering seamless record management for clinicians and patients. By automatically storing data in spreadsheets, the app facilitates faster statistical analysis and historical result tracking. Developed in collaboration with the CIMA (Multidisciplinary Intervention Center for Autism), the app was evaluated through a user satisfaction survey, demonstrating high performance and positive feedback. By integrating cloud-based authentication, database management, and storage, the app significantly reduces post-processing time and improves data analysis. This digital transformation of the PEP-3 not only enhances efficiency but also sets the stage for digitizing other psychological assessments, optimizing both application time and usability.

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Transformation of the Psychoeducational Profile-Third Edition, PEP-3 Applied in the Evaluation of Children with Autism Spectrum Disorders ASD with Cloud Services Such as Firebase's BaaS

  • Viaviana Zhagüi-Tenesaca,
  • Juliana Quintanilla-Martínez,
  • Juan P. Bermeo-Moyano,
  • Luis F. Guerrero-Vásquez

摘要

Early diagnosis of Autism Spectrum Disorder (ASD) is critical for implementing strategies that reduce symptoms and improve quality of life. However, the Psychoeducational Profile (PEP-3), commonly used in ASD assessment, presents significant challenges due to its time-intensive post-processing and manual result recording, which hinders efficient historical analysis. This paper introduces an app that utilizes cloud services to digitally transform the PEP-3 assessment process, offering seamless record management for clinicians and patients. By automatically storing data in spreadsheets, the app facilitates faster statistical analysis and historical result tracking. Developed in collaboration with the CIMA (Multidisciplinary Intervention Center for Autism), the app was evaluated through a user satisfaction survey, demonstrating high performance and positive feedback. By integrating cloud-based authentication, database management, and storage, the app significantly reduces post-processing time and improves data analysis. This digital transformation of the PEP-3 not only enhances efficiency but also sets the stage for digitizing other psychological assessments, optimizing both application time and usability.