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A Graphical Interface to Support Low-Flow Volatile Anesthesia: Implications for Patient Safety, Teaching, and Design of Anesthesia Information Management Systems

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Availability of Data and Materials

No datasets were generated or analysed during the current study.

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Acknowledgements

We acknowledge Erin Morgan, AIMS lead analyst, for her work in the implementation of the low-flow tab interface.

Funding

The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

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Authors and Affiliations

  1. Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children’s Hospital, Boston, MA, USA

    James **e, Megan Jablonski, Joan Smith & Andres Navedo

  2. Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, CA, USA

    James **e

  3. Department of Anesthesiology, Medical College of Wisconsin, Milwaukee, WI, USA

    Megan Jablonski

  4. Department of Pediatric Anesthesiology, Children’s Wisconsin, Milwaukee, WI, USA

    Megan Jablonski

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  1. James **e
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Contributions

All authors James **e, Megan Jablonski, Joan Smith, and Andres Navedo contributed to the manuscript conception and design. Material preparation, data collection and analysis were performed by James **e, Megan Jablonski, and Andres Navedo. The draft of the manuscript was written by James **e and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to James **e.

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Ethical approval is not applicable as no human subjects are involved in the description of the software.

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Permissions were obtained from the software vendor to include screenshots of the software.

Clinical Trial Information

N/A - this manuscript does not describe a clinical trial.

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The authors declare no competing interests.

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**e, J., Jablonski, M., Smith, J. et al. A Graphical Interface to Support Low-Flow Volatile Anesthesia: Implications for Patient Safety, Teaching, and Design of Anesthesia Information Management Systems. J Med Syst 48, 36 (2024). https://doi.org/10.1007/s10916-024-02055-1

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