REDCap系统通过API接口模块实现R语言程序应用
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摘要
REDCap系统应用过程中,调用API(application programming interface,应用程序编程接口)能够快速与R语言程序构建临床研究项目,节省大量科研时间。本文通过大量建立在REDCap系统基础上的多中心临床研究实例,阐述其API接口模块与R语言程序的交互过程,目的使临床研究人员灵活掌握该方法,繁杂的研究过程将变的简单易行、数据迁移和科研统计也将更加安全方便。
During the REDCap system application process, the API(application programming interface) can quickly establish a clinical research project with the R language program, saving a lot of research time. This paper illustrates the interaction process between the API interface module and the R language program through a large number of multi-center clinical research examples based on the REDCap system. The purpose is to enable the clinical researchers to master the method flexibly. The complicated research process will become simple and easy. Data migration and research statistics will also be more secure and convenient.
During the REDCap system application process, the API(application programming interface) can quickly establish a clinical research project with the R language program, saving a lot of research time. This paper illustrates the interaction process between the API interface module and the R language program through a large number of multi-center clinical research examples based on the REDCap system. The purpose is to enable the clinical researchers to master the method flexibly. The complicated research process will become simple and easy. Data migration and research statistics will also be more secure and convenient.
引文
[1]耿辉,贺海蓉,曾宪涛,等.多中心临床数据采集系统REDCap系统应用及架设[J].中国循证心血管医学杂志,2017,9(9):1025-8.
[2]耿辉,田国祥,贺海蓉,等.如何安全实现REDCap系统的数据录入、存储[J].中国循证心血管医学杂志,2018,10(3):262-4.
[3]贺海蓉,郑婕,耿辉,等.如何利用REDCap数据采集系统实现病例报告表的设计[J].中国循证心血管医学杂志,2018,10(2):133-7.
[4]高凡,田国祥,贺海蓉,等. REDCap实现多中心研究数据管理的方法[J].中国循证心血管医学杂志,2018,10(4):392-5.
[5]Tuti T,Bitok M,Paton C,et al. Innovating to enhance clinical data management using non-commercial and open source solutions across a multi-center network supporting inpatient pediatric care and research in Kenya[J]. J Am Med Inform Assoc,2016,23(1):184-92.
[6]Dugas M,Neuhaus P,Meidt A,et al. Portal of medical data models:information infrastructure for medical research and healthcare[J].Database(Oxford),2016,bav121.
[7]Dunn WD Jr,Cobb J,Levey AI,et al. REDLetr:Workflow and tools to support the migration of legacy clinical data capture systems to REDCap REDLetr[J]. Int J Med Inform,2016,93:103-10.
[8]Dufendach KR,Koch S,Unertl KM,et al. A Randomized Trial Comparing Classical Participatory Design to VandAID, an Interactive CrowdSourcing Platform to Facilitate User-centered Design[J].Methods Inf Med, 2017,56(5):344-9.
[9]Poulsen L,Klassen A,Rose M,et al. Botulinum Toxin:Techniques Within Pediatric Physiatry[J]. PM R,2018,30(18):30353-8.
[10] Eriksson J,Andersson S,Appelqvist R,et al. Merging clinical chemistry biomarker data-with a COPD database-building a clinical infrastructure for proteomic studies[J]. Proteome Sci,2017,21(15):8.
[2]耿辉,田国祥,贺海蓉,等.如何安全实现REDCap系统的数据录入、存储[J].中国循证心血管医学杂志,2018,10(3):262-4.
[3]贺海蓉,郑婕,耿辉,等.如何利用REDCap数据采集系统实现病例报告表的设计[J].中国循证心血管医学杂志,2018,10(2):133-7.
[4]高凡,田国祥,贺海蓉,等. REDCap实现多中心研究数据管理的方法[J].中国循证心血管医学杂志,2018,10(4):392-5.
[5]Tuti T,Bitok M,Paton C,et al. Innovating to enhance clinical data management using non-commercial and open source solutions across a multi-center network supporting inpatient pediatric care and research in Kenya[J]. J Am Med Inform Assoc,2016,23(1):184-92.
[6]Dugas M,Neuhaus P,Meidt A,et al. Portal of medical data models:information infrastructure for medical research and healthcare[J].Database(Oxford),2016,bav121.
[7]Dunn WD Jr,Cobb J,Levey AI,et al. REDLetr:Workflow and tools to support the migration of legacy clinical data capture systems to REDCap REDLetr[J]. Int J Med Inform,2016,93:103-10.
[8]Dufendach KR,Koch S,Unertl KM,et al. A Randomized Trial Comparing Classical Participatory Design to VandAID, an Interactive CrowdSourcing Platform to Facilitate User-centered Design[J].Methods Inf Med, 2017,56(5):344-9.
[9]Poulsen L,Klassen A,Rose M,et al. Botulinum Toxin:Techniques Within Pediatric Physiatry[J]. PM R,2018,30(18):30353-8.
[10] Eriksson J,Andersson S,Appelqvist R,et al. Merging clinical chemistry biomarker data-with a COPD database-building a clinical infrastructure for proteomic studies[J]. Proteome Sci,2017,21(15):8.