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Improving Research Patient Data Repositories From a Health Data Industry Viewpoint

Organizational, administrative, and educational challenges in establishing and sustaining biomedical data science infrastructures lead to the inefficient use of Research Patient Data Repositories (RPDRs). The challenges, including but not limited to deployment, sustainability, cost optimization, col...

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Detalles Bibliográficos
Autores principales: Tang, Chunlei, Ma, Jing, Zhou, Li, Plasek, Joseph, He, Yuqing, Xiong, Yun, Zhu, Yangyong, Huang, Yajun, Bates, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133984/
https://www.ncbi.nlm.nih.gov/pubmed/35544299
http://dx.doi.org/10.2196/32845
Descripción
Sumario:Organizational, administrative, and educational challenges in establishing and sustaining biomedical data science infrastructures lead to the inefficient use of Research Patient Data Repositories (RPDRs). The challenges, including but not limited to deployment, sustainability, cost optimization, collaboration, governance, security, rapid response, reliability, stability, scalability, and convenience, restrict each other and may not be naturally alleviated through traditional hardware upgrades or protocol enhancements. This article attempts to borrow data science thinking and practices in the business realm, which we call the data industry viewpoint, to improve RPDRs.