Big data and predictive analytics in neurocritical care

Ayham Alkhachroum, Julie Kromm, Michael A. De Georgia

Research output: Contribution to journalReview articlepeer-review


Purpose of Review: To describe predictive data and workflow in the intensive care unit when managing neurologically ill patients. Recent Findings: In the era of Big Data in medicine, intensive critical care units are data-rich environments. Neurocritical care adds another layer of data with advanced multimodal monitoring to prevent secondary brain injury from ischemia, tissue hypoxia, and a cascade of ongoing metabolic events. A step closer toward personalized medicine is the application of multimodal monitoring of cerebral hemodynamics, bran oxygenation, brain metabolism, and electrophysiologic indices, all of which have complex and dynamic interactions. These data are acquired and visualized using different tools and monitors facing multiple challenges toward the goal of the optimal decision support system. Summary: In this review, we highlight some of the predictive data used to diagnose, treat, and prognosticate the neurologically ill patients. We describe information management in neurocritical care units including data acquisition, wrangling, analysis, and visualization.

Original languageEnglish (US)
Pages (from-to)19-32
Number of pages14
JournalCurrent neurology and neuroscience reports
Issue number1
StatePublished - Jan 2022
Externally publishedYes


  • Monitoring
  • Neurocritical care
  • Precision medicine
  • Predictive data

ASJC Scopus subject areas

  • Neuroscience(all)
  • Clinical Neurology


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