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Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
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Large databases in anaesthesiology.

Richard P Dutton1

  • 1American Society of Anesthesiologists, University of Chicago, Schaumburg, Illinois, USA.

Current Opinion in Anaesthesiology
|September 30, 2015
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Summary
This summary is machine-generated.

Large database research in anesthesiology is advancing, driven by the National Anesthesia Clinical Outcomes Registry (NACOR). This registry, with 30 million cases, supports big data analytics in the field.

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Area of Science:

  • Anesthesiology
  • Medical Informatics
  • Health Services Research

Background:

  • The Anesthesia Quality Institute was established by the American Society of Anesthesiologists to create a national anesthesia registry.
  • The National Anesthesia Clinical Outcomes Registry (NACOR) and its companion Anesthesia Incident Reporting System have been operational for five years.
  • Hundreds of US practices currently utilize NACOR and the Anesthesia Incident Reporting System daily.

Purpose of the Study:

  • To review the current landscape of large database research within anesthesiology.
  • To detail the developmental trajectory of the National Anesthesia Clinical Outcomes Registry (NACOR) in the United States.

Main Methods:

  • Review of the current state of large database research in anesthesiology.
  • Description of the evolution and implementation of the National Anesthesia Clinical Outcomes Registry (NACOR).

Main Results:

  • NACOR, established by the Anesthesia Quality Institute, has amassed 30 million cases.
  • NACOR represents a significant emerging resource for "big data" research in anesthesiology.
  • The registry is actively used by numerous US practices.

Conclusions:

  • The Information Age is enhancing the potential for large-scale database research in anesthesiology.
  • The development of comprehensive registries is crucial for capturing a substantial proportion of clinical cases.
  • Registries like NACOR are pivotal in advancing anesthesiology through big data analytics.