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Integrating Pediatric Anesthesia Sustainability Metrics into Native Electronic Health Records: A Clinical Informatics

Mandy Lam1,2, Ashley Wu1, Karna Patel3

  • 1Department of Anesthesia and Pain Medicine, Hospital for Sick Children, ON, Toronto, Canada.

Journal of Medical Systems
|September 22, 2025
PubMed
Summary

Developing pediatric-specific anesthesia sustainability metrics integrated into electronic health records is feasible. This allows for real-time data capture and feedback to reduce greenhouse gas emissions in pediatric care.

Keywords:
Electronic health recordsGreenhouse emissionsHealthcare sustainabilityPediatric anesthesiaSustainabilityTotal intravenous anesthesia

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Area of Science:

  • Environmental Science in Healthcare
  • Anesthesiology
  • Pediatric Medicine

Background:

  • Anesthetic gases contribute significantly to healthcare's greenhouse gas emissions.
  • Pediatric anesthesia faces unique challenges compared to adult practices for sustainability.
  • Third-party data applications for anesthesia records are expensive.

Purpose of the Study:

  • To develop and implement pediatric-specific anesthesia sustainability metrics.
  • To integrate these metrics into native electronic health record (EHR) systems.
  • To enable real-time data capture and feedback for environmental benchmarking.

Main Methods:

  • A nominal consensus group process identified 24 pediatric-focused sustainability metrics.
  • Metrics were integrated into Epic's Anesthesia module for automated data collection.
  • Interactive dashboards were created for department-wide and individual provider feedback.

Main Results:

  • The study demonstrated the feasibility of creating novel pediatric-specific sustainability metrics.
  • Automated data collection and feedback mechanisms were successfully implemented.
  • The developed metrics can be used within EHRs to benchmark environmental goals.

Conclusions:

  • Pediatric anesthesia sustainability metrics can be effectively designed and integrated into EHRs.
  • Real-time data capture and feedback are achievable within native systems.
  • This approach supports environmental goal setting and monitoring in pediatric anesthesia.