ArticleJournal of medical systems2025
Integrating Pediatric Anesthesia Sustainability Metrics into Native Electronic Health Records: A Clinical Informatics Approach.
Article in Journal of medical systems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Automated Detection of Airway Events in Diverse Hospital Settings: Development and Validation of a Scalable System.Journal of medical systems · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The growing emphasis on sustainability in healthcare has highlighted anesthetic gases as notable contrib utors to the sector's greenhouse gas emissions. While adult anesthesia practices have increasingly adopted mitigation strategies, such as using lower fresh gas flows and total intravenous anesthesia, pediatric anesthesia poses distinct challenges due to the unique physiological and pharmacological requirements of neonates, infants, and children. The use of third-party applications for accessing anesthesia medical record data is costly. This technical report describes the development and implementation of pediatric-specific anesthesia sustainability metrics and integrating these metrics in native electronic health record systems for real-time data capture and feedback. Using a nominal consensus group process, 24 pediatric-focused metrics were identified across key perioperative phases. Subsequent integration into Epic's Anesthesia module facilitated automated data collection and the creation of interactive dashboards, which offer both department-wide and individualized provider feedback. Our report describes the feasibility of designing novel pediatric-specific sustainability metrics that can be used within the electronic medical record to benchmark environmental goals in pediatric anesthesia practice.
Indexed as
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.