Intelligent Reconstruction and Effectiveness Evaluation of Nursing Workflow for Future Hospitals

In this paper, the overall structure of the intelligent nursing system is designed in detail to realize the reconstruction of each process of nursing work by the intelligent nursing system. The data of nursing medical record documents of a tertiary hospital were collected as the basis of analysis, and statistical methods were used to compare and analyze the writing of medical records before and after the intelligent reconstruction of nursing workflow. Analysis of variance (ANOVA) and independent paired t-test were chosen to understand the clinical measurement differences between the intelligent nursing system and the traditional technology, and a self-designed questionnaire was used to explore the nurses’ intention to use the intelligent nursing system from their point of view. The results showed that the intelligent nursing system significantly reduced writing time (P≤0.001) and improved medical record writing ability compared with manual methods. The time efficiency of measuring physical sign data was improved by intelligent nursing systems by 74.16% and 69.8% respectively. Nurses’ knowledge of the intelligent nursing system was as high as 63.64%, and functionally, nurses’ intention to use the intelligent nursing system accounted for 85.29%, which was at a medium-high level.