• Organizing Committee of the Madrid 2017 Critical Care Datathon, Antonio Núñez Reiz, Fernando Martínez Sagasti, Manuel Álvarez González, Antonio Blesa Malpica, Juan Carlos Martín Benítez, Mercedes Nieto Cabrera, Ángela Del Pino Ramírez, José Miguel Gil Perdomo, Jesús Prada Alonso, Leo Anthony Celi, Miguel Ángel Armengol de la Hoz, Rodrigo Deliberato, Kenneth Paik, Tom Pollard, Jesse Raffa, Felipe Torres, Julio Mayol, Joan Chafer, Arturo González Ferrer, Ángel Rey, Henar González Luengo, Giuseppe Fico, Ivana Lombroni, Liss Hernandez, Laura López, Beatriz Merino, María Fernanda Cabrera, María Teresa Arredondo, María Bodí, Josep Gómez, Alejandro Rodríguez, and Sánchez García Miguel M Servicio de Medicina Intensiva, Hospital Universitario Clínico San Carlos, Madrid, España. Electronic address: miguel.sanchez@salud.madrid.org..
• Servicio de Medicina Intensiva, Hospital Universitario Clínico San Carlos, Madrid, España. Electronic address: anunezreiz@gmail.com.
• Med Intensiva. 2019 Jan 1; 43 (1): 52-57.

AbstractThe introduction of clinical information systems (CIS) in Intensive Care Units (ICUs) offers the possibility of storing a huge amount of machine-ready clinical data that can be used to improve patient outcomes and the allocation of resources, as well as suggest topics for randomized clinical trials. Clinicians, however, usually lack the necessary training for the analysis of large databases. In addition, there are issues referred to patient privacy and consent, and data quality. Multidisciplinary collaboration among clinicians, data engineers, machine-learning experts, statisticians, epidemiologists and other information scientists may overcome these problems. A multidisciplinary event (Critical Care Datathon) was held in Madrid (Spain) from 1 to 3 December 2017. Under the auspices of the Spanish Critical Care Society (SEMICYUC), the event was organized by the Massachusetts Institute of Technology (MIT) Critical Data Group (Cambridge, MA, USA), the Innovation Unit and Critical Care Department of San Carlos Clinic Hospital, and the Life Supporting Technologies group of Madrid Polytechnic University. After presentations referred to big data in the critical care environment, clinicians, data scientists and other health data science enthusiasts and lawyers worked in collaboration using an anonymized database (MIMIC III). Eight groups were formed to answer different clinical research questions elaborated prior to the meeting. The event produced analyses for the questions posed and outlined several future clinical research opportunities. Foundations were laid to enable future use of ICU databases in Spain, and a timeline was established for future meetings, as an example of how big data analysis tools have tremendous potential in our field.Copyright © 2018 Elsevier España, S.L.U. y SEMICYUC. All rights reserved.

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