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Harnessing Big Data in Neurocritical Care in the Era of Precision Medicine

  • Critical Care Neurology (H Hinson, Section Editor)
  • Published:
Current Treatment Options in Neurology Aims and scope Submit manuscript

Abstract

Purpose of review

To survey the literature around “big data” and “artificial intelligence” use, its challenges, and examples in clinical and research domains within neurocritical care.

Recent findings

Innovations in digital data storage and integration technology have motivated the active development of data-driven tools for neurocritical care practice. There has been progress towards harmonization of data dictionaries within the field to boost generalizability of studies. Numerous collaborative groups have cultivated datasets that will enable further study of disease detection, prediction, and management of critically ill neurologic patients. Essential to the effective analysis of big data in neurocritical care are the increasing relationships between clinicians and data scientists. There are multiple challenges related to the efficient and ethical use of big data, including data complexity, database stewardship and governance, data quality, and safe implementation of data-driven conclusions. Continued efforts towards optimally harnessing data will be crucial in neurocritical care.

Summary

Critically ill neurologic patients generate an abundant amount of data in the course of routine management. Clinical research is evolving from benefiting the “average patient” to aiming to deliver more precise treatment to the individual patient. In neurocritical care, this has manifested through big data—for triage decisions, enhancing workflow, event detection, and outcome prediction.

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References and Recommended Reading

Papers of particular interest, published recently, have been highlighted as: •• Of major importance

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  1. Ayham Alkhachroum, Kalijah Terilli and Murad Megjhani contributed equally to this work.

Authors and Affiliations

  1. Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA

    Ayham Alkhachroum MD, Kalijah Terilli BA, Murad Megjhani PhD & Soojin Park MD

  2. Department of Neurology, University of Miami, Miami, FL, USA

    Ayham Alkhachroum MD

  3. Department of Neurology, Jackson Memorial Hospital, Miami, FL, USA

    Ayham Alkhachroum MD

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  1. Ayham Alkhachroum MD
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Correspondence to Soojin Park MD.

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Ayham Alkhachroum declares no conflict of interest.

Kalijah Terilli declares no conflict of interest.

Murad Megjhani reports grants from American Heart Assocation Award, during the conduct of the study.

Soojin Park reports grants from National Institutes of Health, during the conduct of the study.

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Alkhachroum, A., Terilli, K., Megjhani, M. et al. Harnessing Big Data in Neurocritical Care in the Era of Precision Medicine. Curr Treat Options Neurol 22, 15 (2020). https://doi.org/10.1007/s11940-020-00622-8

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