目的 构建肺功能检查全流程数智化管理系统，以优化患者检查流程，减少人工录入数据时间，提高临床诊疗效率，并实现数据资源共享和设备效能优化。方法 本研究通过深入分析现有肺功能检查流程中存在的问题，综合运用信息化技术和人工智能技术，结合临床业务需求和患者诊疗需要，应用Java语言和Oracle数据库，基于Tomcat和Nginx构建B/S架构的肺功能检查系统，实现肺功能检查的数字化和智能化管理。通过对系统上线前后的患者预约等候时间、检查等候时间、检查时间、检查设备数量、设备年运行成本、设备年回报率、设备利用率指标进行统计分析，综合评估肺功能检查系统应用效果。结果 系统上线后，检查预约等候时间、检查等候时间和检查时间较上线前分别缩短了60.22%、54.97%和41.08%；在设备数量不变（9台）的情况下，设备每年运行成本降低2.47万元，设备年回报率提升71.06%，设备利用率提升9.34%，且差异均有统计学意义（P<0.05）。结论 肺功能检查全流程数智化管理系统显著优化了检查流程，提高了设备效能，使检查结果的共享和临床数据的应用更加便捷，对提升医疗服务质量和效率具有重要意义。
Abstract
Objective To construct a comprehensive digital intelligent management system for pulmonary function examination, aiming to optimize patient examination processes, reduce manual data entry time, enhance the efficiency of clinical diagnostic and treatment and achieve data resource sharing and equipment efficiency optimization. Methods In this study, the existing issues in the pulmonary function examination workflow were analyzed in depth, and the informatization technology and artificial intelligence technology were comprehensively utilized. Combined with clinical business needs and patient diagnosis and treatment needs, the pulmonary function examination system was developed using Java language and Oracle database based on B/S architecture with Tomcat and Nginx, which realized the digital and intelligent management of pulmonary function examination. Through the statistical analysis of patients’ appointment waiting time, examination waiting time, examination time, number of examination equipment, annual operation cost of equipment, annual return rate of equipment and equipment utilization rate before and after the system was launched, the application effect of pulmonary function examination system was comprehensively evaluated. Results After the system was launched, the examination appointment waiting time, examination waiting time and examination time were shortened by 60.22%, 54.97% and 41.08%, respectively. In the case of the same total number of equipment (9 units), the annual operation cost of the equipment was reduced by 24700 yuan, the annual return rate of the equipment was increased by 71.06%, and the utilization rate of the equipment was increased by 9.34%, and the differences were statistically significant (P<0.05). Conclusion The comprehensive digital intelligent management system for pulmonary function examination significantly optimizes the examination process, enhances equipment efficiency, and facilitates the sharing of examination results and clinical data application, which is of great importance for improving the quality and efficiency of medical services.
关键词
肺功能检查；信息管理系统；数智化；设备效能；医疗信息化；业务流程优化；人工智能
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Key words
pulmonary function examination; information management system; digital intelligent; equipment efficiency; medical informatization; business process optimization; artificial intelligence
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中图分类号：
R197.32
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脚注
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基金
中日友好医院临床研究与转化跃升项目（2024-NHLHCRF-GL-07；2024-NHLHCRF-GL-11；2022-NHLHCRFLX-02-03；2022-NHLHCRF-PY-15）；国家重点研发计划（2022YFF1203001）；国家重大协同创新项目（2021-I2M-1-001）。
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