Your browser doesn't support javascript.
loading
An Accessible Clinical Decision Support System to Curtail Anesthetic Greenhouse Gases in a Large Health Network: Implementation Study.
Ramaswamy, Priya; Shah, Aalap; Kothari, Rishi; Schloemerkemper, Nina; Methangkool, Emily; Aleck, Amalia; Shapiro, Anne; Dayal, Rakhi; Young, Charlotte; Spinner, Jon; Deibler, Carly; Wang, Kaiyi; Robinowitz, David; Gandhi, Seema.
Affiliation
  • Ramaswamy P; Department of Anesthesia and Perioperative Care, University of California, San Francisco, San Francisco, CA, United States.
  • Shah A; Department of Anesthesiology and Perioperative Care, University of California, Irvine, Irvine, CA, United States.
  • Kothari R; Department of Anesthesia and Perioperative Care, University of California, San Francisco, San Francisco, CA, United States.
  • Schloemerkemper N; Department of Anesthesiology and Pain Medicine, University of California, Davis, Sacramento, CA, United States.
  • Methangkool E; Department of Anesthesiology and Perioperative Medicine, University of California, Los Angeles, Los Angeles, CA, United States.
  • Aleck A; Department of Anesthesiology, University of California, San Diego, San Diego, CA, United States.
  • Shapiro A; Department of Anesthesiology, University of California, San Diego, San Diego, CA, United States.
  • Dayal R; Department of Anesthesiology and Perioperative Care, University of California, Irvine, Irvine, CA, United States.
  • Young C; School of Medicine, University of California, San Francisco, San Francisco, CA, United States.
  • Spinner J; Department of Anesthesia and Perioperative Care, University of California, San Francisco, San Francisco, CA, United States.
  • Deibler C; San Francisco Medical Center, University of California, San Francisco, CA, United States.
  • Wang K; San Francisco Medical Center, University of California, San Francisco, CA, United States.
  • Robinowitz D; Department of Anesthesia and Perioperative Care, University of California, San Francisco, San Francisco, CA, United States.
  • Gandhi S; Department of Anesthesia and Perioperative Care, University of California, San Francisco, San Francisco, CA, United States.
JMIR Perioper Med ; 5(1): e40831, 2022 Dec 08.
Article in En | MEDLINE | ID: mdl-36480254
ABSTRACT

BACKGROUND:

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

OBJECTIVE:

In 2018, a CDS system that lowers anesthetic gas waste using methods that can be easily adopted by other institutions was developed at the University of California San Francisco (UCSF). This study aims to facilitate wider uptake of our CDS system and further reduce gas waste by describing the implementation of the FGF CDS toolkit at UCSF and the subsequent implementation at other medical campuses within the University of California Health network.

METHODS:

We developed a noninterruptive active CDS system to alert anesthesia professionals when FGF rates exceeded 0.7 L per minute for common volatile anesthetics. The implementation process at UCSF was documented and assembled into an informational toolkit to aid in the integration of the CDS system at other health care institutions. Before implementation, presentation-based education initiatives were used to disseminate information regarding the safety of low FGF use and its relationship to environmental sustainability. Our FGF CDS toolkit consisted of 4 main components for implementation sustainability-focused education of anesthesia professionals, hardware integration of the CDS technology, software build of the CDS system, and data reporting of measured outcomes.

RESULTS:

The FGF CDS system was successfully deployed at 5 University of California Health network campuses. Four of the institutions are independent from the institution that created the CDS system. The CDS system was deployed at each facility using the FGF CDS toolkit, which describes the main components of the technology and implementation. 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 system reduces anesthetic gas waste, leading to environmental and fiscal benefits. Here, we demonstrate that the CDS system can be transferred to other medical facilities using our toolkit for implementation, making the technology and associated benefits globally accessible to advance mitigation of health care-related emissions.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Aspects: Determinantes_sociais_saude Language: En Journal: JMIR Perioper Med Year: 2022 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Aspects: Determinantes_sociais_saude Language: En Journal: JMIR Perioper Med Year: 2022 Document type: Article Affiliation country: United States