Big Data for the Smallest Patients—What We Can Learn From Neonatal Database Research

Veeral Nalin Tolia, Reese H. Clark, Karna Murthy

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Important insights can be made using observational studies from "big data." The term big data describes large, complex electronic databases that can be overwhelming. Data scientists can spend 50% to 80% of their time curating and preparing data before it can be analyzed. When well organized and easily retrievable, large databases can inform the care we provide to our active and future patients. Big data are only valuable if they are validated, explored, understood, and reported. When used appropriately, they can save lives, improve outcomes of the patients for whom we provide care, and inform how we direct our future resources toward clinical care, research, education, and quality improvement initiatives.

Original languageEnglish (US)
Title of host publicationFanaroff and Martin's Neonatal-Perinatal Medicine, 2-Volume Set
Subtitle of host publicationDiseases of the Fetus and Infant
PublisherElsevier
Pages28-38
Number of pages11
ISBN (Electronic)9780323932660
ISBN (Print)9780323932745
DOIs
StatePublished - Jan 1 2024

Keywords

  • Databases
  • Neonate
  • Outcomes research
  • Statistics

ASJC Scopus subject areas

  • General Medicine

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