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Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit
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Infrastructure for Big Data in the Intensive Care Unit.

Javier Zelechower1, José Astudillo1, Francisco Traversaro1

  • 1Service of Intensive Care Unit, Hospital Italiano de Buenos Aires, Argentina.

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|January 4, 2018
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Summary

Implementing Big Data in the intensive care unit (ICU) requires specific infrastructure and a multidisciplinary team. This approach aims to enhance patient treatment through customized medical decisions.

Keywords:
Intensive Care UnitVital Signs

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Area of Science:

  • Critical Care Medicine
  • Health Informatics
  • Data Science

Background:

  • The Big Data paradigm offers potential for improving patient care in intensive care units (ICUs).
  • Customized treatment decisions are a key goal for leveraging Big Data in critical care.

Purpose of the Study:

  • To outline the essential infrastructure for establishing a Big Data system within an ICU.
  • To emphasize the necessity of a multidisciplinary team for successful Big Data implementation in critical care.

Main Methods:

  • This work focuses on the foundational requirements for a Big Data system in the ICU setting.
  • It highlights the infrastructure components and team composition needed.

Main Results:

  • The development of a Big Data system for ICUs necessitates specific technological infrastructure.
  • A collaborative, multidisciplinary team is crucial for the effective utilization of Big Data in critical care.

Conclusions:

  • Successful Big Data implementation in intensive care medicine depends on both robust infrastructure and a cohesive multidisciplinary team.
  • This approach paves the way for data-driven, personalized patient treatment in critical care settings.