The cost of operating room delays in an endourology center
Bibliographic record
Abstract
INTRODUCTION: This study sought to characterize delays and estimate resulting costs during nephrolithiasis surgery. METHODS: Independent observers documented delays during ureteroscopy (URS) and percutaneous nephrolithotomy (PCNL) procedures. Fifty index cases over a period of three months was considered sufficient to observe the generalizable trends. Operating room staff, excluding the surgeons, were blinded. Time-related metrics and delays preventing case progression were recorded using a smartphone-accessible data-collection instrument. Delays were categorized as: 1) missing equipment; 2) missing personnel; 3) equipment malfunction; or 4) delay due to case complexity. The first two categories were regarded as preventable and the latter two non-preventable. RESULTS: Forty URS and 18 PCNL cases were included. There was a total of 56 delays in 35 (65%) cases. Twelve (67%) PCNLs and 23 (58%) URSs had delays (p=0.57). The mean cumulative delay per case was 3.5±3.2 minutes. Pre-start delays (n=17) were 4.5±3.5 minutes on average while intraoperative delays (n=39) were 3.1±2.9 minutes (p=0.167). Delays were evenly spread among the four categories. Thirty-one (55%) delays were preventable (mean 3.7±3.2 minutes) while 25 (45%) were non-preventable (mean 3.2±3.2 minutes) (p=0.58). This translates to $137 per case in preventable costs. CONCLUSIONS: Preventable operative delays are encountered frequently in nephrolithiasis surgery, translating to significant additional charges and costs. We demonstrate a rationale for the development of improved communication and workflow protocols to increase efficiency in endourological surgeries. Key limitations are the observational nature of the study and sample size.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".