目的 本研究旨在通过智能手术排程系统优化手术安排，提高手术室利用率与患者满意度。方法 系统基于数据中台，采用SQL Server 2016、Visual Studio 2019及C#开发，实现Vue+.Net Core前后端分离模式的B/S网站自动排班。结果 基于数据中台，该系统实现了手术排程、人员排班的智能化与自动化，并增设了排程结果智能提醒功能，同时构建了手术室业务智能（BI）系统，极大地优化了医院手术服务的效率、便捷性和安全性。 临床应用验证显示，系统应用后术前等候时间缩减16%，护士加班时长减少16%，手术排程效率提升62%，手术调整频率降低35%，手术错漏情况减少60%，日均手术量增长8.2%，患者满意度上升1.3%，手术准台率提高22.5% ，各项指标差异均有统计学意义（P<0.05）。结论 智能手术排程系统是现代医院管理中的重要工具，它通过智能化、自动化的方式优化手术排程，提高手术室利用率、减少手术延误、提升患者满意度和医疗质量。

Objective The purpose of this study is to optimize the operation arrangement and improve the utilization rate of operating room and patient satisfaction through the intelligent operation scheduling system. Methods Based on the data center, the system was developed by SQL Server 2016, Visual Studio 2019 and C#, and realized the automatic scheduling of B/S website in the mode of Vue+.Net Core. Results By leveraging a data mid-platform, this system has achieved the intellectualization and automation of surgical scheduling and personnel rostering. It has also incorporated an intelligent reminder function for scheduling results. Furthermore, it has established a Business Intelligence (BI) system specifically for operating rooms, significantly enhancing the efficiency, convenience, and safety of surgical services within hospitals.After the application of the system, the preoperative waiting time was reduced by 16%, the overtime time of nurses was reduced by 16%, the efficiency of operation scheduling was increased by 62%, the frequency of operation adjustment was reduced by 35%, the error rate of operation was reduced by 60%, the average daily operation volume was increased by 8.2%, the patient satisfaction was increased by 1.3%, and the operation accuracy rate was increased by 22.5%. The differences in each index were statistically significant (P<0.05). Conclusions The intelligent surgical scheduling system is a pivotal tool in modern hospital management. It optimizes surgical scheduling through intelligent and automated processes, thereby improving operating room utilization, minimizing surgical delays, and enhancing both patient satisfaction and medical quality.