ArticleJournal of medical systems2014
Variability of subspecialty-specific anesthesia-controlled times at two academic institutions.
Article in Journal of medical systems, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- A Retrospective Analysis Investigating Whether Case Volume Experience of the Anesthesiologist Correlates with Intraoperative Efficiency for Joint Arthroplasty.Journal of medical systems · 2023Article
- Benchmarking of Anesthesia and Surgical Control Times by Current Procedural Terminology (CPT®) Codes.Journal of medical systems · 2022Article
- Preparatory Time-Related Hand Surgery Operating Room Inefficiency: A Systems Analysis.Hand (New York, N.Y.) · 2020Article
- The Impact of Airway Technique on Anesthesia Control Time.Journal of medical systems · 2019Article
- Introduction of a new electronic medical record system has mixed effects on first surgical case efficiency metrics.Journal of clinical monitoring and computing · 2017Article
- Effect of the Implementation of a New Electronic Health Record System on Surgical Case Turnover Time.Journal of medical systems · 2017Article
- Effect of Anesthesia Staffing Ratio on First-Case Surgical Start Time.Journal of medical systems · 2016Article
- The Impact of Overestimations of Surgical Control Times Across Multiple Specialties on Medical Systems.Journal of medical systems · 2016Article
- Operating theatre time, where does it all go? A prospective observational study.BMJ (Clinical research ed.) · 2014Observational
- Improving operating room turnover time: a systems based approach.Journal of medical systems · 2014Article
- Operating room metrics score card-creating a prototype for individualized feedback.Journal of medical systems · 2014Article
- Comment on research article entitled "variability of subspecialty-specific anesthesia-controlled times at two academic institutions" as published in J Med Syst 2014; 38 (11).Journal of medical systems · 2014Article
- Critical care nephrology: could it be a model of multidisciplinarity in ICU nowadays for other sub-specialities - the jury is out.International journal of nephrology and renovascular disease · 2014Review
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Realistic scheduling of operating room cases decreases costs, optimizes utilization and improves staff and patient satisfaction. Currently limited data exists to establish anesthesia-controlled time benchmarks based on specific subspecialty service. In this multicenter retrospective analysis of cases performed during a 53 month period at two large multispecialty academic institutions, data were retrieved from the perioperative information systems at each center. Both induction and emergence times were calculated. We then determined mean and median anesthesia controlled times based on each subspecialty service and compared them to previously published anesthesia-controlled time data. We obtained data on 104,184 cases at hospital A, and 122,560 cases at Hospital B. For all specialties at hospital A and hospital B, median induction time was 16.0 min and 17.0 min, emergence time was 14.0 and 8.0 min, and total anesthesia controlled time was 31.0 min and 27.0 min respectively. There was considerable variability among different surgical specialties deviating from the previously established 30 min benchmark. Subspecialties with lower total anesthesia controlled times in both centers were pain, general surgery, gynecology, plastic surgery and urology. Subspecialties with higher total anesthesia controlled times in both centers included cardiac surgery, neurosurgery, transplant and vascular. Cardiac surgery had the highest total time of 60 min and 50 min at Hospital A and B respectively. Individual specialty-specific anesthesia controlled times should be used for case scheduling and to benchmark anesthesia performance.
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