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Non-operating room anesthesia workflow (NORA) implementation to improve start times in interventional radiology

  • Justin S. Routman
  • , Benjamin K. Tran
  • , Brooke R. Vining
  • , Aliaksei Salei
  • , Andrew J. Gunn
  • , Junaid Raja
  • , Junjian Huang

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Background: Non-OR Anesthesia (NORA) is rapidly becoming standard in many high-volume institutions and efficiency in these spaces has yet to be optimized. On-time first start percentage has been suggested to correlate with more efficient flow, and this correlation is established within the surgical space. Purpose: To investigate the effects of timetable targets on first case on-time first start percentage within a NORA setting. Materials and Methods: A retrospective study of anesthesia-supported first start cases from October 2022 to April 2023 was performed to analyze the effect of timetable targets on on-time first-case starts for planned cases. Statistical analysis was calculated using Student's t-tests with statistical significance defined as p < 0.05. Additionally, analysis of variance was used to compare three or more groups, and Tukey Kramer was used to evaluate groups pairwise. Results: One hundred twenty-four first start cases were included in the evaluation. After intervention with timetable targets, average patient arrival to the room time improved from 7:49 AM to 7:40 AM (p < 0.05) and procedure start time improved from 8:31 AM to 8:20 AM (p < 0.01). The percentage of procedure start times occurring prior to the goal time increased from 35 % to 58 % after the implementation (p < 0.05). With exception of Tuesdays (Anesthesia Late Start Day), on-time starts improved from 17 % to 48 % (p < 0.01) and sustained this improvement throughout the post-implementation period. Conclusion: Implementation of novel timetable targets yielded statistically significant improvement in first case start times. This improvement in efficiency and throughput results in increased room utilization, improved case throughput, and decreased block overrun times, all of which contribute toward increased revenues, decreased costs, and thus improved return on investment.

Original languageEnglish
Pages (from-to)477-480
Number of pages4
JournalCurrent Problems in Diagnostic Radiology
Volume53
Issue number4
DOIs
StatePublished - Jul 1 2024

Bibliographical note

Publisher Copyright:
© 2024 Elsevier Inc.

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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