Medical Big Data Risk Management: A Systematic Management Approach Based on Bayesian Belief Networks

The purpose of this paper is to identify the medical risk applying big data technology and build a (MBDR) control process manage from systematic perspective. In process, we firstly used literature reviews (SLRs) method systematically search 322 papers in web science with topics “medical risk” “big dimensional system theoretical level. Based on case study hospital Shanghai, explored formation mechanism interaction effect by using Bayesian belief networks (BBNs) method, built process. This finally finds that: includes 24 subdimensions 5 major categories dimensions, which helps explore application addition, constructed includes: prediction, reverse reasoning, control, prevention 4 aspects, important for hospitals actually carry out control.