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Georgia Quality Improvement Programs Multi-Institutional Collection of Postoperative Opioid Data Using ACS-NSQIP Abstraction.

Jesse A CodnerElissa A FalconerDennis W AshleyJohn F SweeneyMuhammad I SaeedJason M LangerVirginia O ShafferCharles R FinleyGina SolomonJyotirmay Sharma
Published in: The American surgeon (2022)
Developing a multi-institutional opioid data collection platform through ACS-NSQIP is feasible. Preselected drop-down boxes outperform free text variables. GQIP future quality improvement targets include variation in OSS use and opioid overprescribing.
Keyphrases
  • quality improvement
  • chronic pain
  • pain management
  • patient safety
  • acute coronary syndrome
  • electronic health record
  • big data
  • patients undergoing
  • high throughput
  • data analysis
  • machine learning
  • deep learning