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1.
Med Intensiva (Engl Ed) ; 43(7): 416-426, 2019 Oct.
Article in English, Spanish | MEDLINE | ID: mdl-30591356

ABSTRACT

Intensive care is an ideal environment for the use of Big Data Analysis (BDA) and Machine Learning (ML), due to the huge amount of information processed and stored in electronic format in relation to such care. These tools can improve our clinical research capabilities and clinical decision making in the future. The present study reviews the foundations of BDA and ML, and explores possible applications in our field from a clinical viewpoint. We also suggest potential strategies to optimize these new technologies and describe a new kind of hybrid healthcare-data science professional with a linking role between clinicians and data.


Subject(s)
Big Data , Critical Care , Data Analysis , Electronic Health Records , Machine Learning , Data Anonymization , Databases, Factual , Humans , Information Dissemination , Information Storage and Retrieval , Intensive Care Units , Natural Language Processing , Randomized Controlled Trials as Topic , Retrospective Studies
2.
Rev. Univ. Ind. Santander, Salud ; 48(1): 97-117, Febrero 16, 2016.
Article in Spanish | LILACS | ID: lil-779697

ABSTRACT

La investigación biomédica enfocada a la preservación de la salud y manejo de la enfermedad requiere hoy del trabajo articulado bidireccional entre básicos y clínicos, lo cual ha generado una nueva tendencia, denominada investigación traslacional. Este tipo de investigación se fundamenta en poder brindar una atención en salud oportuna, pertinente, eficaz y personalizada, para lo cual se requieren muestras biológicas e información clínica asociada, garantizando a su vez seguridad, calidad y confidencialidad para los donantes. Promover la investigación traslacional y la aplicación de los avances del conocimiento y de la tecnología derivados de la investigación y la innovación, requiere del apoyo de infraestructuras de fácil acceso que faciliten la rápida demostración experimental de una hipótesis o la comprobación de un modelo simulado previamente. Dentro de las diversas plataformas biomédicas y de salud existentes, los Biobancos, en sus diferentes modalidades, se constituyen en una de las más atractivas plataformas a la hora de contribuir a establecer puentes entre la investigación básica y clínica, con la práctica asistencial. La necesidad de contar con muestras biológicas humanas de alta calidad y, al mismo tiempo, la obligación de preservar los derechos de los donantes, ha elevado la gestión de los Biobancos a la categoría de disciplina científico-técnica, con una complejidad particular que involucra múltiples aspectos entre los cuales se incluyen aspectos científicos, técnicos, éticos, jurídicos y sociales. Esta serie de artículos, que serán publicados en los diferentes números de la revista durante el 2016, tienen como objetivo hacer una revisión crítica de los aspectos más relevantes en torno a la gestión de los Biobancos con fines de investigación y proponer una serie de guías de manejo del material biológico humano a conservar las cuales se han desarrollado en el marco del Programa Cardiecol.


Biomedical research aimed at the preservation of health and disease management requires nowadays a bidirectional and articulated collaboration between basic and clinical work, which has generated a new trend called translational research. This type of research is based on the ability to provide timely, relevant, effective and personalized healthcare, for which biological samples, and associated clinical information are required, while ensuring safety, quality and confidentiality for donors. In order to promote translational research and the application of the advances in knowledge and technology from research and innovation, the support of accessible infrastructure is required to facilitate the rapid experimental demonstration of an hypothesis or testing a previously simulated model. Among the diverse biomedical and healthcare existing platforms, the Biobanks, in their various forms constitute one of the most attractive platforms contributing to establish bridges between the basic and clinical research with the clinical practice. The need for human biological samples of high quality, and at the same time, the obligation to preserve the rights of donors, has raised the Biobanks' management to the scientific and technical category, with the added particular complexity of involving multiple aspects including scientific, ethical, legal, and social factors. This series of articles that will be published in different issues of the magazine in 2016, aims to make a critical review of the most relevant aspects regarding the management of Biobanks for research, and to propose a series of guidelines for the management of human biological material as developed by the program Cardiecol.


Subject(s)
Humans , Information Storage and Retrieval , Translational Science, Biomedical , Biological Specimen Banks , Translational Research, Biomedical
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