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Current applications of big data in obstetric anesthesiology.

Publication ,  Journal Article
Klumpner, TT; Bauer, ME; Kheterpal, S
Published in: Curr Opin Anaesthesiol
June 2017

PURPOSE OF REVIEW: The narrative review aims to highlight several recently published 'big data' studies pertinent to the field of obstetric anesthesiology. RECENT FINDINGS: Big data has been used to study rare outcomes, to identify trends within the healthcare system, to identify variations in practice patterns, and to highlight potential inequalities in obstetric anesthesia care. Big data studies have helped define the risk of rare complications of obstetric anesthesia, such as the risk of neuraxial hematoma in thrombocytopenic parturients. Also, large national databases have been used to better understand trends in anesthesia-related adverse events during cesarean delivery as well as outline potential racial/ethnic disparities in obstetric anesthesia care. Finally, real-time analysis of patient data across a number of disparate health information systems through the use of sophisticated clinical decision support and surveillance systems is one promising application of big data technology on the labor and delivery unit. SUMMARY: 'Big data' research has important implications for obstetric anesthesia care and warrants continued study. Real-time electronic surveillance is a potentially useful application of big data technology on the labor and delivery unit.

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Published In

Curr Opin Anaesthesiol

DOI

EISSN

1473-6500

Publication Date

June 2017

Volume

30

Issue

3

Start / End Page

300 / 305

Location

United States

Related Subject Headings

  • Quality Improvement
  • Pregnancy
  • Postoperative Complications
  • Labor, Obstetric
  • Incidence
  • Humans
  • Female
  • Delivery, Obstetric
  • Decision Support Systems, Clinical
  • Datasets as Topic
 

Citation

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Klumpner, T. T., Bauer, M. E., & Kheterpal, S. (2017). Current applications of big data in obstetric anesthesiology. Curr Opin Anaesthesiol, 30(3), 300–305. https://doi.org/10.1097/ACO.0000000000000452
Klumpner, Thomas T., Melissa E. Bauer, and Sachin Kheterpal. “Current applications of big data in obstetric anesthesiology.Curr Opin Anaesthesiol 30, no. 3 (June 2017): 300–305. https://doi.org/10.1097/ACO.0000000000000452.
Klumpner TT, Bauer ME, Kheterpal S. Current applications of big data in obstetric anesthesiology. Curr Opin Anaesthesiol. 2017 Jun;30(3):300–5.
Klumpner, Thomas T., et al. “Current applications of big data in obstetric anesthesiology.Curr Opin Anaesthesiol, vol. 30, no. 3, June 2017, pp. 300–05. Pubmed, doi:10.1097/ACO.0000000000000452.
Klumpner TT, Bauer ME, Kheterpal S. Current applications of big data in obstetric anesthesiology. Curr Opin Anaesthesiol. 2017 Jun;30(3):300–305.

Published In

Curr Opin Anaesthesiol

DOI

EISSN

1473-6500

Publication Date

June 2017

Volume

30

Issue

3

Start / End Page

300 / 305

Location

United States

Related Subject Headings

  • Quality Improvement
  • Pregnancy
  • Postoperative Complications
  • Labor, Obstetric
  • Incidence
  • Humans
  • Female
  • Delivery, Obstetric
  • Decision Support Systems, Clinical
  • Datasets as Topic