The technology behind TB DEPOT: a novel public analytics platform integrating tuberculosis clinical, genomic, and radiological data for visual and statistical exploration

被引:4
作者
Long, Alyssa [1 ]
Glogowski, Alexander [1 ]
Meppiel, Matthew [1 ]
De Vito, Lisa [1 ]
Engle, Eric [1 ]
Harris, Michael [1 ]
Ha, Grace [1 ]
Schneider, Darren [1 ]
Gabrielian, Andrei [1 ]
Hurt, Darrell E. [1 ]
Rosenthal, Alex [1 ]
机构
[1] NIAID, Dept Hlth & Human Serv, Off Cyber Infrastruct & Computat Biol, NIH, Bethesda, MD USA
基金
美国国家卫生研究院;
关键词
clinical research informatics; tuberculosis; cohort creation; data analysis; data integration; PLINK;
D O I
10.1093/jamia/ocaa228
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Objective: Clinical research informatics tools are necessary to support comprehensive studies of infectious diseases. The National Institute of Allergy and Infectious Diseases (NIAID) developed the publicly accessible Tuberculosis Data Exploration Portal (TB DEPOT) to address the complex etiology of tuberculosis (TB). Materials and Methods: TB DEPOT displays deidentified patient case data and facilitates analyses across a wide range of clinical, socioeconomic, genomic, and radiological factors. The solution is built using Amazon Web Services cloud-based infrastructure, .NET Core, Angular, Highcharts, R, PLINK, and other custom-developed services. Structured patient data, pathogen genomic variants, and medical images are integrated into the solution to allow seamless filtering across data domains. Results: Researchers can use TB DEPOT to query TB patient cases, create and save patient cohorts, and execute comparative statistical analyses on demand. The tool supports user-driven data exploration and fulfills the National Institute of Health's Findable, Accessible, Interoperable, and Reusable (FAIR) principles. Discussion: TB DEPOT is the first tool of its kind in the field of TB research to integrate multidimensional data from TB patient cases. Its scalable and flexible architectural design has accommodated growth in the data, organizations, types of data, feature requests, and usage. Use of client-side technologies over server-side technologies and prioritizing maintenance have been important lessons learned. Future directions are dynamically prioritized and key functionality is shared through an application programming interface. Conclusion: This paper describes the platform development methodology, resulting functionality, benefits, and technical considerations of a clinical research informatics application to support increased understanding of TB.
引用
收藏
页码:71 / 79
页数:9
相关论文
共 27 条
  • [1] [Anonymous], 2019, Global tuberculosis report 2019
  • [2] [Anonymous], NTR
  • [3] [Anonymous], NTR
  • [4] [Anonymous], NTR
  • [5] Survival of patients with multidrug-resistant TB in Eastern Europe: what makes a difference?
    Balabanova, Yanina
    Ignatyeva, Olga
    Fiebig, Lena
    Riekstina, Vija
    Danilovits, Manfred
    Jaama, Kadri
    Davidaviciene, Edita
    Radiulyte, Birute
    Popa, Christina Marcela
    Nikolayevskyy, Vladyslav
    Drobniewski, Francis
    [J]. THORAX, 2016, 71 (09) : 854 - 861
  • [6] Bender D, 2013, COMP MED SY, P326, DOI 10.1109/CBMS.2013.6627810
  • [7] Second-generation PLINK: rising to the challenge of larger and richer datasets
    Chang, Christopher C.
    Chow, Carson C.
    Tellier, Laurent C. A. M.
    Vattikuti, Shashaank
    Purcell, Shaun M.
    Lee, James J.
    [J]. GIGASCIENCE, 2015, 4
  • [8] Eleven quick tips for architecting biomedical informatics workflows with cloud computing
    Cole, Brian S.
    Moore, Jason H.
    [J]. PLOS COMPUTATIONAL BIOLOGY, 2018, 14 (03)
  • [9] Daniel Christel, 2019, Yearb Med Inform, V28, P203, DOI 10.1055/s-0039-1677921
  • [10] Cross-border collaboration for improved tuberculosis prevention and care: policies, tools and experiences
    Dara, M.
    Sulis, G.
    Centis, R.
    D'Ambrosio, L.
    de Vries, G.
    Douglas, P.
    Garcia, D.
    Jansen, N.
    Zuroweste, E.
    Migliori, G. B.
    [J]. INTERNATIONAL JOURNAL OF TUBERCULOSIS AND LUNG DISEASE, 2017, 21 (07) : 727 - 736