Научные статьиM.H.Sayidova, S.U.Pulatova2025
MODERNIZATION OF TEACHING METHODS IN CLINICAL PHARMACOLOGY BASED ON THE CREDIT-MODULE SYSTEM IN MEDICAL EDUCATION
MEDICAL EDUCATION · Samatov Dilshodbek Toxirjonovich · No'monova Go'zaloy Davronbek qizi (Department of Social and Humanitarian Sciences) · and Medical Biotechnology (Department of Pharmacology, Clinical Pharmacology,)
Академические исследования в современной науке · 2026
Аннотация
The modernization of clinical pharmacology education within the credit-module system is a crucial step in improving medical training, particularly for students specializing in treatment sciences. This approach ensures a student-centered, competency-based, and flexible learning process, enhancing theoretical knowledge and practical application. This study explores innovative teaching methods for clinical pharmacology, including simulation-based learning, problem-based learning (PBL), digital case studies, and AI-driven decision-support systems. The integration of these technologies into the credit-module system allows for personalized learning, real-time performance assessment, and the development of essential clinical decision-making skills. Keywords: Clinical pharmacology, credit-module system, medical education, simulation-based learning, digital case studies, problem-based learning (PBL), AI in pharmacology, modern teaching methods. In modern medical education, the credit-module system has been widely adopted to ensure flexibility, student-centered learning, and competency-based assessment. This system enables students to progress at their own pace, acquire in-depth knowledge, and develop practical skills essential for professional practice. In the field of clinical pharmacology, effective teaching methods play a crucial role in equipping future healthcare professionals with the necessary expertise to make evidence-based medical decisions. The rapid advancement of medical sciences and pharmaceutical innovations requires continuous modernization of teaching methodologies. Traditional approaches, such as lecture-based instruction and textbook learning, are no longer sufficient to meet the growing demands of clinical practice. Therefore, integrating innovative educational technologies into clinical pharmacology education has become essential. 46 ACADEMIC RESEARCH IN MODERN SCIENCE International scientific-online conference This study explores the modernization of teaching methods in clinical pharmacology within the credit-module system, focusing on the implementation of simulation-based learning, problem-based learning (PBL), digital case studies, AI-assisted clinical decision-making tools, and interactive e-learning platforms. These methods enhance student engagement, improve comprehension of complex pharmacological concepts, and bridge the gap between theoretical knowledge and real-world clinical applications. The objective of this research is to analyze the effectiveness of modern teaching strategies in clinical pharmacology education and their impact on medical students' academic performance, decision-making abilities, and practical competence. By integrating these innovative methods, medical institutions can enhance the quality and efficiency of pharmacology education, ultimately contributing to better healthcare outcomes. In modern medical education, the credit-module system has been widely adopted to ensure flexibility, student-centered learning, and competency-based assessment. This system enables students to progress at their own pace, acquire in-depth knowledge, and develop practical skills essential for professional practice. In the field of clinical pharmacology, effective teaching methods play a crucial role in equipping future healthcare professionals with the necessary expertise to make evidence-based medical decisions. The rapid advancement of medical sciences and pharmaceutical innovations requires continuous modernization of teaching methodologies. Traditional approaches, such as lecture-based instruction and textbook learning, are no longer sufficient to meet the growing demands of clinical practice. Therefore, integrating innovative educational technologies into clinical pharmacology education has become essential. This study explores the modernization of teaching methods in clinical pharmacology within the credit-module system, focusing on the implementation of simulation-based learning, problem-based learning (PBL), digital case studies, AI-assisted clinical decision-making tools, and interactive e-learning platforms. These methods enhance student engagement, improve comprehension of complex pharmacological concepts, and bridge the gap between theoretical knowledge and real-world clinical applications. The objective of this research is to analyze the effectiveness of modern teaching strategies in clinical pharmacology education and their impact on medical students' academic performance, decision-making abilities, and practical competence. By integrating these innovative methods, medical 47 ACADEMIC RESEARCH IN MODERN SCIENCE International scientific-online conference institutions can enhance the quality and efficiency of pharmacology education, ultimately contributing to better healthcare outcomes. Simulation-based learning provides students with hands-on experience through virtual patients, clinical scenarios, and laboratory simulations. This method allows students to apply theoretica
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«The modernization of clinical pharmacology education within the credit-module system is a crucial step in improving medical training, particularly for students specializing in treatment sciences.»
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Демо-превьюThe modernization of clinical pharmacology education within the credit-module system is a crucial step in improving medical training, particularly for students specializing in treatment sciences. Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.
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- Clinical pharmacology, credit-module system, medical, medical education, modern teaching methods., simulation-based learning, digital case studies, problem-based learning (PBL), AI in pharmacology
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