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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参考文献
[1] 国务院办公厅. 关于印发“十四五”国民健康规划的通知[EB/
OL]. (2022-05-20)[2024-10-09]. https://www.gov.cn/zhengce/
zhengceku/2022-05/20/content_5691424.htm.
[2] 邱娅, 戴国朝, 周仁冰, 等. COPD患者CT双期扫描参数与肺
功能的相关性研究[J]. 中国医疗设备, 2022, 37(6): 76-80.
Qiu Y, Dai GC, Zhou RB, et al. Study on the correlation
between dual-phase MSCT parameters and pulmonary function
in COPD patients[J]. China Med Devices, 2022, 37(6): 76-80.
[3] 国家卫生健康委办公厅. 关于印发慢性阻塞性肺疾病患者健
康服务规范(试行)的通知[EB/OL]. (2024-09-13)[2024-10-09].
https://www.nhc.gov.cn/jws/c100073/202409/ad3c2a82211842
72872a31ae400ecd37.shtml.
[4] 杨玲辉, 王芳, 容劲枝, 等. 信息化管理对提高慢性阻塞性肺
疾病患者治疗效果的影响分析[J]. 现代诊断与治疗, 2021,
32(15): 2476-2477.
[5] 蔡玉珍, 梁惠冰, 刘玲, 等. 基于信息平台的协同护理模式在
支气管哮喘患儿中的应用效果分析[J]. 中国医药科学, 2020,
10(11): 90-93.
Cai YZ, Liang HB, Liu L, et al. Analysis of application effect
of collaborative nursing mode based on information platform
in children with bronchial asthma[J]. China Med Pharm, 2020,
10(11): 90-93.
[6] 林艳, 王文惠. 基于共享决策理念的健康教育在肺癌根治术
后患者肺功能锻炼中的应用效果[J]. 医学临床研究, 2023,
40(2): 290-293.
[7] 王艳灵, 张晶晶, 王慧颖, 等. 临床决策支持系统护理干预方案在
呼吸衰竭患者中的应用[J]. 齐鲁护理杂志, 2023, 29(23): 143-146.
[8] 崔菲菲, 万振, 刘晓龙. 慢性阻塞性肺疾病患者诊疗信息系统
的设计与实现[J]. 医疗装备, 2020, 33(3): 17-19.
[9] 喻文杰, 廖伟光, 齐宏亮, 等. 基于知识图谱的国内大型医疗设
备配置研究现状分析[J]. 现代仪器与医疗, 2024, 30(3): 34-39.
Yu WJ, Liao WG, Qi HL, et al. Analysis of research status of
large-scale medical equipment configuration based on knowledge
graph[J]. Mod Instrum Med Treat, 2024, 30(3): 34-39.
[10] 李霞, 吕向辉, 史肇辉, 等. 医疗设备使用评价体系建设及应
用案例[J]. 中国医疗设备, 2024, 39(5): 99-106.
Li X, Lv XH, Shi ZH, et al. Construction and application cases
of evaluation system for medical equipment use[J]. China Med
Devices, 2024, 39(5): 99-106.
[11] 齐晓敏. 基于智慧医疗与物联网的医院信息系统设计[J]. 电
子技术, 2024, 53(8): 430-432.
Qi XM. Design of hospital information system based on smart
healthcare and Internet of Things[J]. Electron Technol, 2024,
53(8): 430-432.
[12] 吴双林. 基于SOA架构的移动医生工作站设计与思考[J]. 信
息与电脑, 2022, 34(10): 159-161.
Wu SL. Design and thinking of mobile doctor workstation
based on SOA architecture[J]. China Comput Commun, 2022,
34(10): 159-161.
[13] 朱彩霞. 肺功能检查在慢性阻塞性肺疾病诊断及治疗中的
临床意义[J]. 智慧健康, 2022, 8(2): 4-6.
Zhu CX. Clinical significance of lung function test in the
diagnosis and treatment of chronic obstructive pulmonary
disease[J]. Smart Healthc, 2022, 8(2): 4-6.
[14] 顾明豪, 郑蕴欣, 王愿颖. 基于临床需求的肺功能信息化系
统构建与应用评估[J]. 中国医学装备, 2023, 20(8): 106-110.
Gu MH, Zheng YX, Wang YY. Construction and practice of
information system of pulmonary function based on clinical
requirement[J]. China Med Equip, 2023, 20(8): 106-110.
[15] 傅唯佳, 汤梁峰, 叶成杰, 等. 运用人工智能技术进行肺功
能数据库构建并辅助诊断实践[J]. 中国医疗器械信息, 2022,
28(14): 147-150.
Fu WJ, Tang LF, Ye CJ, et al. Implementation of an artificial
intelligence based clinical decision support system on historical
pulmonary function reports[J]. China Med Device Inf, 2022,
28(14): 147-150.
[16] 李维嘉, 吴正灏, 张雷, 等. 基于我院实际需求的医疗设备效
益分析系统的构建与应用[J]. 中国医疗设备, 2022, 37(11):
112-117.
Li WJ, Wu ZH, Zhang L, et al. Construction and application of medical equipment benefit analysis system based on actual
demand of our hospital[J]. China Med Devices, 2022, 37(11):
112-117.
[17] 朱兴广, 白丽娟, 贾梦帆, 等. 技术支持视角下医疗设备维修
智能管理系统的设计与应用[J]. 中国医疗设备, 2024, 39(1):
97-101.
Zhu XG, Bai LJ, Jia MF, et al. Design and application of
medical equipment maintenance intelligent management system
based on the perspective of technical support[J]. China Med
Devices, 2024, 39(1): 97-101.
[18] 叶希琳. 多参数肺功能检测关键技术及系统开发[D]. 合肥:
安徽医科大学, 2023.
Ye XL. Key technology and system development of multiparameter lung function detection[D]. Hefei: Anhui Medical
University, 2023.
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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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