AN INTELLECTUAL MODEL FOR ASSESSING THE EFFECTIVENESS OF USING INFORMATION TECHNOLOGIES IN THE MEDICAL FIELD
DOI:
https://doi.org/10.5281/zenodo.17511763Keywords:
Intellectual model, Information technologies, Medicine, Artificial intelligence, Effectiveness assessment, Health informatics, Decision support, Machine learning, E-health, Digital transformationAbstract
The rapid integration of information technologies (IT) into the field of medicine has created both opportunities
and challenges in measuring their real impact on healthcare quality, efficiency, and patient outcomes. This article proposes
an intellectual model for assessing the effectiveness of IT use in medicine, combining artificial intelligence (AI) tools, data
analytics, and decision-support mechanisms to evaluate the multidimensional effects of technological adoption. The study
synthesizes theoretical approaches, comparative analyses, and empirical frameworks to develop an integrated evaluation
model capable of quantifying efficiency, predicting clinical outcomes, and supporting management decisions. The model’s
core elements—data acquisition, knowledge representation, and adaptive reasoning—are aligned with global standards
in e-health.
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