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Accepted for/Published in: JMIR Perioperative Medicine

Date Submitted: Jul 8, 2022
Date Accepted: Oct 8, 2022

The final, peer-reviewed published version of this preprint can be found here:

An Accessible Clinical Decision Support System to Curtail Anesthetic Greenhouse Gases in a Large Health Network: Implementation Study

Ramaswamy P, Shah A, Kothari R, Schloemerkemper N, Methangkool E, Aleck A, Shapiro A, Dayal R, Young C, Spinner J, Deibler C, Wang K, Robinowitz D, Gandhi S

An Accessible Clinical Decision Support System to Curtail Anesthetic Greenhouse Gases in a Large Health Network: Implementation Study

JMIR Perioper Med 2022;5(1):e40831

DOI: 10.2196/40831

PMID: 36480254

PMCID: 9782391

An Accessible Clinical Decision Support System to Curtail Anesthetic Greenhouse Gases in a Large Health Network: Implementation Study

  • Priya Ramaswamy; 
  • Aalap Shah; 
  • Rishi Kothari; 
  • Nina Schloemerkemper; 
  • Emily Methangkool; 
  • Amalia Aleck; 
  • Anne Shapiro; 
  • Rakhi Dayal; 
  • Charlotte Young; 
  • Jon Spinner; 
  • Carly Deibler; 
  • Kaiyi Wang; 
  • David Robinowitz; 
  • Seema Gandhi

ABSTRACT

Background:

Inhaled anesthetics in the operating room are potent greenhouse gases and are a key contributor to carbon emissions from healthcare facilities. Real-time clinical decision support (CDS) systems lower anesthetic gas waste by prompting anesthesia providers to reduce fresh gas flows (FGF) when a set threshold is exceeded. However, previous CDS systems have relied on proprietary or highly customized anesthesia management systems, significantly reducing accessibility of the technology to other institutions, and thus limiting overall environmental benefit.

Objective:

We developed a CDS that lowers anesthetic gas waste using methods that can be easily adopted by other institutions. To facilitate wider uptake of our CDS and further reduce gas waste, we describe the implementation of the FGF CDS toolkit at University of California, San Francisco (UCSF), and subsequent implementation at other medical campuses within the University of California health network.

Methods:

We developed a non-interruptive, active CDS system to alert anesthesia providers when FGF rates exceeded 0.7 L/min for common volatile anesthetics. Prior to implementation, presentation-based education initiatives were used to disseminate information regarding the safety of low FGF use and its relation to environmental sustainability. Our FGF CDS toolkit consisted of four main components for implementation: 1) sustainability-focused education of anesthesia providers, 2) hardware integration of the CDS technology, 3) software build of the CDS, and 4) data reporting of measured outcomes.

Results:

The FGF CDS system was successfully deployed at five UC Health Network campuses. Each campus made modifications to the CDS tool to best suit their institution, emphasizing the versatility and adoptability of the technology and implementation framework.

Conclusions:

It has previously been shown that the FGF CDS reduces anesthetic gas waste, leading to environmental and fiscal benefits. Here we demonstrate that the CDS can be transferred to other medical facilities using our toolkit for implementation, making the technology and associated benefits globally accessible to advance mitigation of healthcare-related emissions.


 Citation

Please cite as:

Ramaswamy P, Shah A, Kothari R, Schloemerkemper N, Methangkool E, Aleck A, Shapiro A, Dayal R, Young C, Spinner J, Deibler C, Wang K, Robinowitz D, Gandhi S

An Accessible Clinical Decision Support System to Curtail Anesthetic Greenhouse Gases in a Large Health Network: Implementation Study

JMIR Perioper Med 2022;5(1):e40831

DOI: 10.2196/40831

PMID: 36480254

PMCID: 9782391

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