Distributed computing and artificial intelligence-based clinical decision support system for adverse pregnancy outcomes

Abstract

The lack of medical resources per capita in China has led to many difficulties in the early prevention and control of diseases. In order to improve the effectiveness of early diagnosis of adverse pregnancy outcomes, improve the efficiency of medical services, this paper designs and implements a clinical decision support system for adverse pregnancy outcomes based on distributed computing and artificial intelligence technology. Visual workflow orchestration simplifies the process of collecting personalized clinical data by healthcare professionals; Distributed computing greatly improves the efficiency of clinical data extraction; The use of artificial intelligence models for early risk assessment and causal analysis of adverse pregnancy outcomes has achieved better results.