胸腺瘤结构化专病数据库构建研究
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摘要
胸腺瘤作为拥有漫长病程的惰性肿瘤,构建其专病数据库,对于病情的监控和治疗具有重要的现实意义。本文以上海市胸科医院为研究背景,依托医院的临床数据中心CDR,通过在电子病历系统中新增对应的病种模板,结构化了689个数据采集项,实现了以患者身份证为主索引的胸腺瘤专病数据库,并设立了数据质量评估体系。胸腺瘤数据库共采集了394例患者的数据,满足了临床快速获得有效信息的需求,辅助医生完成了4个科研随访项目的分析,取得了较好的应用成效,同时也为未来区域多中心专病数据库的建设工作提供了参考依据。
Thymus adenoma, as an inert tumor with a long course of disease, has important practical significance for the monitoring and treatment of the disease by constructing its special disease database. Taking Shanghai chest hospital as the research background and relying on the clinical data center CDR of the hospital, 689 data collection items were structured by adding the corresponding disease type template in the electronic medical record system. A thymic adenoma special disease database with the patient id card as the main index was realized, and a data quality evaluation system was established. A total of 394 patients were collected from the thymic adenoma database, which met the needs of rapid and effective clinical information acquisition. It assisted doctors to complete the analysis of 4 follow-up scientific research projects, and achieved good application results. At the same time, it also provided a reference basis for the construction of the regional multi-center special disease database in the future.
Thymus adenoma, as an inert tumor with a long course of disease, has important practical significance for the monitoring and treatment of the disease by constructing its special disease database. Taking Shanghai chest hospital as the research background and relying on the clinical data center CDR of the hospital, 689 data collection items were structured by adding the corresponding disease type template in the electronic medical record system. A thymic adenoma special disease database with the patient id card as the main index was realized, and a data quality evaluation system was established. A total of 394 patients were collected from the thymic adenoma database, which met the needs of rapid and effective clinical information acquisition. It assisted doctors to complete the analysis of 4 follow-up scientific research projects, and achieved good application results. At the same time, it also provided a reference basis for the construction of the regional multi-center special disease database in the future.
引文
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[2]Barnes EL,Kochar B,Long MD,et al.Modifiable risk factors for hospital readmission among patients with inflammatory bowel disease in a nationwide database[J].Inflamm Bowel Dis,2017,23(6):875.
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[4]Helm JM,Dan L,Figueroa-Bodine J,et al.Metastatic malignant thymoma to the abdomen:a seer database review and assessment of treatment strategies[J].World J Surg Oncol,2017,172(2):343.
[5]黎志军,陈翔,刘旭旭.专科电子病历与电子健康档案的建设应用[J].民营科技,2016,1(6):90.
[6]王彬.浅议电子病历建设及应用中的问题与建议[J].信息系统工程,2016,(10):100.
[7]孔勤,徐新.儿童专科医院电子病历系统建设的经验总结[J].中国数字医学,2016,11(10):111-113.
[8]王淑,陈敏,凌琦鸣,等.基于临床数据中心的专病研究系统建设与实践[J].中国医院,2017,21(8):16-18.
[9]吴亚杰,杨扬,杨晓鹏.医院无纸化电子病历建设研究[J].中国医疗设备,2017,32(2):151-153.
[10]张晓雅,肖宝菊.关于医院无纸化电子病历建设研究[J].数字通信世界,2018,(2).
[11]赵琪.病历的质量控制及电子病历的建设[J].医疗装备,2017,(4):80-81.
[12]茅伟强.基于结构化电子病历的临床路径系统设计应用[J].信息系统工程,2017,(1):80-81.
[13]戴雪,蒋志鹏,关毅.基于中文电子病历的跨科室组块分析[J].计算机应用研究,2017,34(7):2084-2087.
[14]曾红武,彭丽.基于本体的电子病历后结构化模型关键技术[J].中华医学图书情报杂志,2017,26(8):13-16.
[15]张祥伟,李智.基于多特征融合的中文电子病历命名实体识别[J].软件导刊,2017,16(2):128-131.
[16]孙木,周颖明,胡炯,等.基于电子病历的病案质量实时控制实践[J].中国卫生质量管理,2017,24(3).