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Actuating critical care therapeutics.

David J Stone1, Marie Csete2

  • 1Departments of Anesthesiology and Neurosurgery, University of Virginia School of Medicine, Charlottesville, VA; Center for Wireless Health, University of Virginia School of Engineering and Applied Science, Charlottesville, VA.

Journal of Critical Care
|August 3, 2016
PubMed
Summary
This summary is machine-generated.

This study proposes viewing the intensive care unit (ICU) as a control system to improve patient outcomes. It emphasizes enhancing understanding of patient status and trajectory through better data analytics and therapeutic strategies.

Keywords:
Predictive monitoringRisk analysisRisk stratificationSystemic inflammationTherapeutic load

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Area of Science:

  • Critical Care Medicine
  • Health Informatics
  • Systems Engineering

Background:

  • Intensive care units (ICUs) are complex systems with patient inputs and outcome outputs.
  • Current data analytics and sensing technologies have not significantly improved therapeutic interventions (actuation) in ICUs.
  • There is a need to better understand patient status and trajectory within the ICU.

Purpose of the Study:

  • To propose a control system framework for ICUs, focusing on improving therapeutic actuation.
  • To encourage discussion on how critical care professionals can leverage daily data for better decision-making.
  • To prepare for future recommendations from big data analytics and precision medicine initiatives.

Main Methods:

  • Conceptualizing the ICU as a control system.
  • Analyzing the relationship between disease severity, therapeutic burden, and patient outcomes.
  • Reassessing predictive scoring systems and patient state-space characterization.

Main Results:

  • Focus on improving ICU actuation by integrating disease severity and therapeutic burden data.
  • Highlighting the importance of reassessing predictive scoring systems.
  • Emphasizing the need for better characterization and display of patient state-space for clinicians.

Conclusions:

  • Data-driven improvements in ICU actuation are achievable by monitoring therapeutic burden alongside disease severity.
  • Enhanced understanding of patient state-space and predictive scoring is crucial for optimizing care.
  • The critical care community must adapt to big data analytics and precision medicine for future advancements.