Unlocking the Potential of Big Data and Artificial Intelligence in Regional Anesthesiology and Acute Pain Medicine

  • Melissa L Byrne
  • , Crispiana Cozowicz (Co-author)
  • , Stavros G Memtsoudis (Co-author)
  • , Edward R Mariano
  • , Nabil M Elkassabany

Research output: Contribution to journalReview articlepeer-review

Abstract

Advances in computing and technology have enabled big data research to transform the evaluation of regional anesthesia and acute pain medicine. Traditional randomized controlled trials, while rigorous, are limited by strict criteria, cost, and lack of real-world applicability. Big data studies utilize large, diverse datasets from clinical records, registries, and administrative sources, allowing for broader analysis of patient outcomes, including rare complications. The 6Vs-volume, variety, velocity, veracity, value, and variability-define big data's strengths and challenges. By complementing traditional research, big data enhances generalizability and supports more comprehensive, real-world insights into perioperative care.

Original languageEnglish
Pages (from-to)785-797
Number of pages13
JournalANESTHESIOLOGY CLINICS
Volume43
Issue number4
DOIs
Publication statusPublished - Dec 2025

Keywords

  • Humans
  • Big Data
  • Artificial Intelligence
  • Anesthesia, Conduction/methods
  • Anesthesiology/methods
  • Acute Pain/therapy

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