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Data platforms are technological solutions that, by combining various tools, facilitate the management of business data. This work presents the design of a data platform for the storage, management and integration of clinical data at the Center of Molecular Immunology. From the architectures and technologies evaluated for the development of the platform, a multi-tier storage architecture was selected, implementing it on PostgreSQL. This allows the structure and quality of data to be gradually improved as it flows through each layer of the architecture. For the integration, Pentaho Data Integration was used, due to its ease for non-IT personnel and the possibility of carrying out the process incrementally. To ensure auditability and facilitate teamwork, Git was used. Metabase, allowed data exploration. To assess the feasibility of the work, data from 12 investigations on lung cancer were integrated. This integration made it possible to compare the incidence of the products CIMAvaxEGF, Nimotuzumab, Racotumomab and Docetaxel in the survival time of the patients. It is concluded that the designed platform enable the integration of clinical data for subsequent analysis in a reproducible, incremental, and auditable manner.

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Platform for the Integration and Analysis of Clinical Data at the Center of Molecular Immunology

  • 章节

  • 发表日期：

    2026年

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  • Jorge Luis Palomino Hernández,
  • Arasay Montes D’Santis,
  • Lizet Sánchez Valdés,
  • Patricia Lorenzo-Luaces Álvarez,
  • Lisandra Bravo Ilisástigui,
  • Mabel Álvarez Cardona,
  • Lazara García Fernández,
  • Aliuska Frías Blanco,
  • Carmen Viada González

摘要

Data platforms are technological solutions that, by combining various tools, facilitate the management of business data. This work presents the design of a data platform for the storage, management and integration of clinical data at the Center of Molecular Immunology. From the architectures and technologies evaluated for the development of the platform, a multi-tier storage architecture was selected, implementing it on PostgreSQL. This allows the structure and quality of data to be gradually improved as it flows through each layer of the architecture. For the integration, Pentaho Data Integration was used, due to its ease for non-IT personnel and the possibility of carrying out the process incrementally. To ensure auditability and facilitate teamwork, Git was used. Metabase, allowed data exploration. To assess the feasibility of the work, data from 12 investigations on lung cancer were integrated. This integration made it possible to compare the incidence of the products CIMAvaxEGF, Nimotuzumab, Racotumomab and Docetaxel in the survival time of the patients. It is concluded that the designed platform enable the integration of clinical data for subsequent analysis in a reproducible, incremental, and auditable manner.