Programmatic forecasting of treatment and diagnostic measures for congenital cleft lip and/or palate

Relevance. The documentation processes in medical organizations across the DPR are being restructured, particularly in relation to providing therapeutic and rehabilitative care for children with congenital maxillofacial anomalies. Significant changes have been made to both the requirements for medical documentation and the speed at which it is processed, thanks to advancements in information technology and the introduction of individual electronic medical records. In this era of medical digitalization, it is crucial to simplify data collection and improve the forecasting of the effectiveness of therapeutic and rehabilitative measures conducted at the Pediatric Maxillofacial Surgery Center in Donetsk. Materials and methods. To evaluate the effectiveness of forecasting therapeutic and rehabilitative measures using the "Outpatient Monitoring" software, a previously developed model for predicting treatment outcomes was used. This model is based on an analysis of factors and indicators that reflect different aspects of the treatment and rehabilitation process for children with cleft lip and/or palate. Results . The study led to the implementation of a methodology for forecasting the effectiveness of therapeutic and rehabilitative measures at the Pediatric Maxillofacial Surgery Center in Donetsk, utilizing the "Outpatient Monitoring" computer-based accounting and analytical software, which facilitates both practical and scientific tasks related to the monitoring, treatment, and rehabilitation of children with cleft lip and/or palate. Conclusion . The developed forecasting model will greatly simplify the work of specialists at the Pediatric Maxillofacial Surgery Center.

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Publication Details

Journal
Pediatric dentistry and dental prophylaxis
Published
2024-10-07
DOI
https://doi.org/10.33925/1683-3031-2024-826
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
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article

Programmatic forecasting of treatment and diagnostic measures for congenital cleft lip and/or palate

K.S. Tutova, A.A. Muzychina
Pediatric dentistry and dental prophylaxis
Artificial Intelligence in Healthcare and Education
article

Programmatic forecasting of treatment and diagnostic measures for congenital cleft lip and/or palate

K.S. Tutova, A.A. Muzychina
article en

Abstract

Relevance. The documentation processes in medical organizations across the DPR are being restructured, particularly in relation to providing therapeutic and rehabilitative care for children with congenital maxillofacial anomalies. Significant changes have been made to both the requirements for medical documentation and the speed at which it is processed, thanks to advancements in information technology and the introduction of individual electronic medical records. In this era of medical digitalization, it is crucial to simplify data collection and improve the forecasting of the effectiveness of therapeutic and rehabilitative measures conducted at the Pediatric Maxillofacial Surgery Center in Donetsk. Materials and methods. To evaluate the effectiveness of forecasting therapeutic and rehabilitative measures using the "Outpatient Monitoring" software, a previously developed model for predicting treatment outcomes was used. This model is based on an analysis of factors and indicators that reflect different aspects of the treatment and rehabilitation process for children with cleft lip and/or palate. Results . The study led to the implementation of a methodology for forecasting the effectiveness of therapeutic and rehabilitative measures at the Pediatric Maxillofacial Surgery Center in Donetsk, utilizing the "Outpatient Monitoring" computer-based accounting and analytical software, which facilitates both practical and scientific tasks related to the monitoring, treatment, and rehabilitation of children with cleft lip and/or palate. Conclusion . The developed forecasting model will greatly simplify the work of specialists at the Pediatric Maxillofacial Surgery Center.

Pediatric dentistry and dental prophylaxisVol. 24(3)
Donetsk National Medical University (UA)
Openalex Percentile: Top 87%
Artificial Intelligence in Healthcare and Education
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