Big Data in the ICU: experience in the Hospital Italiano de Buenos Aires

摘要

Intensive care represents the critical care setting of a hospital, where fundamental, precise, and fast decisions have to be made. These decisions will affect the outcome of the patients in a matter of few hours. The knowledge of the therapeutic interventions applied in this setting is evolving, thus the perspective of Big Data may provide a new paradigm in the ICU. The conformation of a multidisciplinary team is essential to develop Big Data in the ICU. Big Data is defined in many ways, especially given its origin in the economic and social sciences. The interest and application to the medical sciences is promising given the potential to generate a high volume and variety of data, and new knowledge in accordance with this abundance of information. In broad outline, and as other authors did, Big Data can be broken down into three fundamental aspects: Volume, Speed and Variety [1]. This approach is little known in the medical field and require the work of multidisciplinary teams, for their interpretation and application to clinical practice [2]. The objective of this poster is to propose a system of analysis of the vital signs and data of the Electronic Health Record (EHR) in critical patients.