Abstract:
The primary task of this article was to identify key problems of medicine and outline ways to solve them optimally. An innovative intellectual approach to making medical diagnostic decisions is proposed. Levels of knowledge and didactic systems, their limitations are described. Methodologies and computerized technologies are defined as tools to overcome obstacles. Results: a series of didactic experiments were conducted to compare traditional and proposed innovative methods of diagnosis and vocational training. Evaluation of experiments demonstrates the significant benefits of innovation. The above problems can be successfully solved with the help of computerized diagnostics based on an algorithmic approach to evidencebased disease recognition and mass vocational training, mainly based on eLearning. The term “diagnosis” has two definitions: 1. Intellectual process of disease recognition; 2. Nosological significance - determining the nature of the case. To distinguish these values, we use two different terms: diagnosis – an intellectual process that leads to diagnosis; diagnosis – the result of diagnosis. Differential diagnostic algorithm (DDA) and DDA algorithmization is the stepby-step determination of operations to diagnose all diseases based on leading syndromes, main symptoms or signs, such as chest pain, fever, jaundice, round shadow on chest X-ray, etс. E-learning, corporate e-learning. The term eLearning is a widely used word today. E-learning has its place in the lexicon of learning and education, but it will be a long time before the practice of eLearning becomes commonplace and widespread.
