A MODEL FOR DEVELOPING CLINICAL DECISION-MAKING COMPETENCE IN THE EARLY DIAGNOSIS OF NEUROLOGICAL DISEASES

This article presents a model for developing clinical decision-making competence in future physicians within the context of early diagnosis
of neurological diseases. The relevance of the study is determined by the high global prevalence of neurological disorders such as stroke,
Parkinson’s disease, epilepsy, and dementia, as well as the critical importance of early diagnosis in reducing disability and mortality. The
theoretical framework is based on competency-based, clinically oriented, and digital pedagogical approaches. The proposed model includes
stages of symptom analysis, differential diagnosis, clinical decision-making, digital support, and reflective assessment. Simulation
technologies, virtual patients, and clinical case-based learning were used as key instructional tools. The results demonstrate that the
implementation of the model significantly improves students’ clinical reasoning and decision-making abilities. The scientific novelty lies
in the development of an integrative pedagogical model aimed at enhancing early diagnostic competence in neurology through digital and
simulation-based education.