Process Optimization Method for Day Ward Based on Bayesian Decision-Tree

The day surgery management mode is mainly decentralized management, with clinical departments as the unit, and reference to experience of inter project operation in benchmark hospitals, empirical implemented. With development surgery, extensive has been unable meet needs current situation. At first, paper carefully analyzes existing problems process ward Children’s Hospital Nanjing Medical University. And then, concerns doctors, nurses, anesthesiologists other hospital staff ward, children their parents are considered. Based on Bayesian decision-making theory, this optimizes pre-admission evaluation sick hospitalization for Hospital. Moreover, specific optimization designed. After optimizations, it can be seen that time consumption each step reduced. Thus, stay significantly reduced, cost In addition, first preoperative preparation average receiving were reduced ward. satisfaction children’s was improved.