Big Data in Neonatal Health Care: Big Reach, Big Reward?

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ID: 96147
2018
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Abstract
Analog-to-digital data conversion has created massive amounts of historical and real-time health care data. Costs associated with neonatal health issues are high. Big data use in the neonatal intensive care unit has the potential to facilitate earlier detection of clinical deterioration, expedite application of efficient clinical decision-making algorithms based on real-time and historical data mining, and yield significant cost-savings.
Reference Key
bayne2018bigcritical Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Bayne, Lynn E;
Journal critical care nursing clinics of north america
Year 2018
DOI
S0899-5885(18)30975-4
URL
Keywords
Electronic health record (EHR) neonatology big data clinical decision making cost-savings healthcare analytics

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