Executive Subsystem for Managing the Treatment of Children with Spectral Autism
DOI:
https://doi.org/10.52575/2687-0932-2025-52-2-433-440Keywords:
telemedicine, Early Start Denver Model, artificial intelligence, web applications, p-esdm, adaptive learning, ESDMAbstract
This work involves exploring the possibility of developing an executive subsystem within an autism management system using the Early Start Denver Model. The paper presents a model for clarifying the sequence of operations with an explanation of the most important functions associated with this subsystem and its role in improving productivity. The goal is to monitor the effectiveness of parents' work and enhance their role in improving the treatment of children with autism spectrum by managing daily tasks as part of an individual treatment plan. This subsystem integrates with other subsystems by interacting and collecting feedback, which in turn helps optimize individual patient plans and improve treatment effectiveness. Prospects for further research include the development of machine learning methods for predicting the effectiveness of various therapeutic strategies and the creation of more advanced tools for visualizing progress for all participants in the process.
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References
Almeri, A., V.A. Gaivoronsky, I.S. Konstantinov, 2023. Management of the treatment process for children with spectral autism. Information Systems and Technologies, 5: 46–52.
Adebisi, R.O., E.N. Igwe, 2020. Identification of autism spectrum disorders in schoolchildren in order to identify them in schools using a screening tool operating in Nigeria. Konselor, 9 (2): 42–49.
Bearss, K., T.L. Burrell, L. Stewart, L. Scahill, 2015. Training for parents on autism spectrum disorders: what is hidden behind the name? Review of Clinical Child and Family Psychology, 18:170–182.
Camden, K., P. Silva, 2021 Telemedicine for children: the opportunities offered by COVID-19 and suggestions for its further use to support families with disabled children. Physical and Occupational Therapy in Pediatrics, 41 (1):1–17.
Dawson, G., K. Berner, 2011. Behavioral interventions in children and adolescents with autism spectrum disorders: a review of recent findings. Current Opinion in Pediatrics, 23 (6):616–620.
Ingersoll B., Dvorchak A., 2010. Teaching social communication to children with autism: a guide for parents and professionals. New York: Guilford Press: 54–61.
Rogers, S.J., G. Dawson, 2010. The Denver Model of Early Development for Young Children with Autism: developing language, learning, and engagement. New York: Guilford Press: 125–132.
Simacek, J., L. Elmquist, M. Dimian, 2020. Current trends in the use of telemedicine in autism spectrum disorders: a systematic review. Review Journal of Autism and Developmental Disorders, 7:211–228.
Siahan, A.M., U. Vidyasari, 2019. Adaptive design of the Penerapan website, Pada Toko Accessoris Jelita. ENTER, 2(1): 392–404.
Silva, T., S. Leite, R. Martins, E. Costa, E. Paulo, J. Pascoigno, 2023. ICT and the role of educators in the integration of children with autism spectrum disorders (ASD). Achievements in the field of tourism, technologies and systems: Selected Materials of the ICOTTS 2022 conference, volume 2: 11–22. Singapore: Springer Nature Singapore.
Smith, I.M., R.L. Kegel, L.K. Kegel, 2014. Educating parents about autism: Understanding and measuring parental effectiveness. Journal of Autism and Developmental Disorders, 44 (6):1301–1314. DOI:10.1007/s10803-013-1979-9.
Sideraki A., Drigas A., 2021. Artificial intelligence (AI) in autism. Technium Soc. Sci. J., 26: 262.
Vivanti, J., K. Dissanayake, E. Duncan, 2016. Results of early intervention based on the Denver model in young children with autism spectrum disorders: a systematic review. Developmental Medicine and Pediatric Neurology, 58 (6):582–588.
Wismara, Los Angeles, K.E. McCormick, A.L. Wagner, K. Monlux, A. Nadhan, G.S. Yang, 2018. Telemedicine education for parents within the framework of the Denver Early Start model: results of a randomized controlled trial. Focus on Autism and other developmental disorders, 33(2):67–79.
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