Knowledge Reasoning Model to Support Clinical Decision Making

According to the characteristics of clinical decision-making and the actual work of clinical diagnosis, this paper presents to introduce the knowledge reasoning model about the clinical diagnosis and treatment into the clinical decision support systems (CDSS) to enhance the decision-making ability. Furthermore, a kind of structure of the reasoning model and a comprehensive method of the clinical decision making based on event-driven is also proposed in this paper. This method can dynamically adjust to new medical behavioral events, support the complex medical decision-making behavior, make the CDSS to better support the real-time clinical diagnosis and treatment decisions, so as to effectively assist clinicians in clinical diagnosis and treatment work, and improve normalization and accuracy in medical work.