The rapid integration of information technologies (IT) into the field of medicine has created both opportunitiesand challenges in measuring their real impact on healthcare quality, efficiency, and patient outcomes. This article proposesan intellectual model for assessing the effectiveness of IT use in medicine, combining artificial intelligence (AI) tools, dataanalytics, and decision-support mechanisms to evaluate the multidimensional effects of technological adoption. The studysynthesizes theoretical approaches, comparative analyses, and empirical frameworks to develop an integrated evaluationmodel capable of quantifying efficiency, predicting clinical outcomes, and supporting management decisions. The model’score elements—data acquisition, knowledge representation, and adaptive reasoning—are aligned with global standardsin e-health.
| Mualliflar | Vaxidov , Inomjon, Maxsudov , Moxirbek |
|---|---|
| Jurnal | Innovation science and technologiy |
| Nashr sanasi | 2025-10-01 |
| Jild | 1 |
| Son | 10 |
| Til | Ingliz |
| DOI | 10.5281/zenodo.17511763 |
DOI: 10.5281/zenodo.17511763 · Maqolaning asl sahifasi
Intellectual model, Information technologies, Medicine, Artificial intelligence, Effectiveness assessment, Health informatics, Decision support, Machine learning, E-health, Digital transformation
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