This application will also ensure the integration of multi-source information databases, systematic data analysis, and the prompt detection of potential inconsistencies.
Comprehensive work is underway to further expand the application of artificial intelligence technologies in the disability assessment system.
Within this framework, it is envisaged to conduct in-depth analysis of medical and social data, integrate multi-source information databases, automate document processing, and further improve risk-based assessment mechanisms.
As a result, both the speed and accuracy of decision-making during the assessment process will significantly increase. At the same time, the application of artificial intelligence tools will establish unified standards within the process and enable systematic data analysis and the prompt detection of possible inconsistencies.
It should be noted that last year, artificial intelligence-based functionality implemented in the “Disability” subsystem enabled text analysis of medical referrals, automatic identification of indicators significant for decision-making, and other features.
This technological solution has also strengthened control mechanisms by ensuring the automatic detection of sensitive and risk-prone data that could lead to potential misuse. As a result, an important step has been taken towards minimising subjective approaches and potential errors.
The continuous development of the digital transformation process in the social sphere is envisaged.
Follow us on social media:
