ArticleSurgery open science2023
Sterile surgical supply waste identification using asynchronous analysis: Pediatric surgery QI pilot.
Article in Surgery open science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Artificial intelligence-based waste detection in robotic surgery: a pilot validation study of computer vision technology.Journal of robotic surgery · 2026Review
- Investigating the sterile surgical supply waste in laparotomy surgery.BMC health services research · 2024Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The operating room (OR) is a major cost and revenue center for a hospital. One of the few modifiable costs in the OR is single-use, sterile surgical supplies (SUSSS). If SUSSS are opened on the scrub table and not used, then they are wasted. High-fidelity SUSSS usage data is important to strategically implement solutions to reduce waste of SUSSS in the OR. OR waste reduction may decrease health systems' carbon footprints and reduce spending. Methods: A convenience sample of general pediatric surgical cases was observed in summer 2021. HIPAA-free images of the surgical scrub table were acquired every 2 s with minimal impact on pediatric OR workflow. These images were asynchronously analyzed to obtain SUSSS usage data for each case. Results: Image data from three pediatric surgeons performing 41 pediatric surgeries was reviewed. The median cost of unused SUSSS was $13.10 (IQR = $2.73-$47.97) with a range of $0.07 to $489.08 wasted in a single surgery. The mean number of items wasted was 9.3 ± 6.4. The most frequently wasted items were sutures, syringes, towels, paper rulers, and specimen cups. The most expensive sources of waste were laparoscopic trocars, sutures, insufflation needles, drapes, and guidewires. Conclusions: SUSSS that were discarded without being used were successfully identified through the asynchronous analysis of HIPAA-free OR scrub table image data. This may be an opportunity to identify SUSSS waste efficiently without an observer in the OR.
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