Big data and visual analytics in anaesthesia and health care

A. F. Simpao, L. M. Ahumada, Mohamed Rehman

Research output: Contribution to journalReview article

Abstract

Advances in computer technology, patient monitoring systems, and electronic health record systems have enabled rapid accumulation of patient data in electronic form (i.e. big data). Organizations such as the Anesthesia Quality Institute and Multicenter Perioperative Outcomes Group have spearheaded large-scale efforts to collect anaesthesia big data for outcomes research and quality improvement. Analytics-the systematic use of data combined with quantitative and qualitative analysis to make decisions-can be applied to big data for quality and performance improvements, such as predictive risk assessment, clinical decision support, and resource management. Visual analytics is the science of analytical reasoning facilitated by interactive visual interfaces, and it can facilitate performance of cognitive activities involving big data. Ongoing integration of big data and analytics within anaesthesia and health care will increase demand for anaesthesia professionals who are well versed in both the medical and the information sciences.

Original languageEnglish (US)
Pages (from-to)350-356
Number of pages7
JournalBritish Journal of Anaesthesia
Volume115
Issue number3
DOIs
Publication statusPublished - Jan 1 2015
Externally publishedYes

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Keywords

  • clinical
  • decision support systems
  • electronic health records
  • integrated advanced information management systems
  • medical informatics

ASJC Scopus subject areas

  • Anesthesiology and Pain Medicine

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