造血干细胞移植术后随访系统的设计与数据可视化实现  

Design and Data Visualized Implementation of Hematopoietic Stem Cell Transplantation Follow-Up System

作　　者：吴梦 李泽钰 谢羽雯 陈丽韵[2,3,4] 田孝鹏 朱文娟[2,3,4] WU Meng;LI Zeyu;XIE Yuwen;CHEN Liyun;TIAN Xiaopeng;ZHU Wenjuan(School of Information Science and Technology,Sanda University,Shanghai 201209,China;Department of Hematology,The First Affiliated Hospital of Soochow University,Suzhou Jiangsu 215006,China;Jiangsu Institute of Hematology,Suzhou Jiangsu 215006,China;National Clinical Research Center for Hematologic Diseases,Suzhou Jiangsu 215006,China)

机构地区：[1]上海杉达学院信息科学与技术学院,上海201209 [2]苏州大学附属第一医院血液科,江苏苏州215006 [3]江苏省血液研究所,江苏苏州215006 [4]国家血液系统疾病临床医学研究中心,江苏苏州215006

出　　处：《中国医疗设备》2022年第9期94-98,共5页China Medical Devices

基　　金：国家自然科学基金(81873449);上海高等学校一流本科建设引领计划项目(Z32008.20.005);上海杉达学院科研基金重点资助项目(2022ZD06)。

摘　　要：目的为了克服传统随访模式效率低、无可视化等缺点,本文对造血干细胞移植患者手术后情况进行系统化数据采集与分析,为临床诊疗和科研工作提供技术支持。方法设计基于.NET架构和B/S与C/S混合模式的随访数据管理系统,并采用Python数据可视化技术进行实时的多类型和多维度展示。结果系统实现了智能生成生存曲线、死亡-复发时间等可视化效果图和相关统计结果,并显著缩短了问诊信息录入时间、数据可视化完成时间(P值均<0.05)。结论与传统的随访模式相比,该系统对于随访数据的管理更加准确高效,且具有清晰的可视化特征。Objective In order to overcome the disadvantages of the traditional follow-up model,such as low efficiency and no visualization,this paper aims to systematically collect and analyze the post-operative data of hematopoietic stem cell transplantation patients,and provide technical support for clinical diagnosis,treatment,and scientific research.Methods This paper designed and implemented a method based on.NET framework and B/S and C/S mixed mode of follow-up data management system and used Python data visualization technology for real-time multi-type and multi-dimensional display.Results The system realized the intelligent generation of the survival curve,death-recurrence time,and other visualized renderings and related statistical results.In addition,the time of inquiry information entry and data visualization were significantly shortened(P<0.05).Conclusion Compared with the traditional follow-up model,the system is more accurate and efficient in the management of follow-up data and has clear visual characteristics.

关 键 词：造血干细胞移植 随访系统 数据管理系统 B/S与C/S混合模式 Python数据可视化 

分 类 号：R197.324[医药卫生—卫生事业管理] TP319[医药卫生—公共卫生与预防医学]