R
Richard H. Epstein
Researcher at University of Miami
Publications - 273
Citations - 6399
Richard H. Epstein is an academic researcher from University of Miami. The author has contributed to research in topics: Medicine & Operating room management. The author has an hindex of 42, co-authored 247 publications receiving 5630 citations. Previous affiliations of Richard H. Epstein include Thomas Jefferson University Hospital & University of Iowa.
Papers
More filters
Journal ArticleDOI
The impact of service-specific staffing, case scheduling, turnovers, and first-case starts on anesthesia group and operating room productivity: a tutorial using data from an Australian hospital.
TL;DR: Reducing surgical and/or turnover times and delays in first-case-of-the-day starts generally provides small reductions in OR labor costs.
Journal ArticleDOI
Making management decisions on the day of surgery based on operating room efficiency and patient waiting times.
TL;DR: Decisions involving reducing patient (and surgeon) waiting times rely on quantifying uncertainties in case durations, which are affected highly by small sample sizes, so future studies should focus on using real-time display of data to reduce patient waiting.
Journal ArticleDOI
Use of operating room information system data to predict the impact of reducing turnover times on staffing costs
TL;DR: A methodology by which each surgical suite can use its own numbers to calculate its individual potential reduction in staffing costs from reducing its turnover times is described, which provides the ability to show the specific quantitative effects of reducing turnover time using a surgical suite's own data.
Journal ArticleDOI
Risk Factors for Surgical Site Infections Following Spinal Fusion Procedures: A Case-Control Study
Shilpa B. Rao,Gustavo Vasquez,James S. Harrop,Mitchell Maltenfort,Natalie Stein,George Kaliyadan,Frank Klibert,Richard H. Epstein,Ashwini Sharan,Alexander R. Vaccaro,Phyllis Flomenberg +10 more
TL;DR: Prolonged duration of closed suction drains is a strong independent risk factor for SSI following instrumented spinal fusion procedures, and removing drains as early as possible may lower infection rates.
Journal ArticleDOI
Validation of statistical methods to compare cancellation rates on the day of surgery
TL;DR: It is found that applying Student’s two-sample t-test to the transformation of the numbers of cases and canceled cases from each of six 4-wk periods was valid for most conditions and recommended that clinicians and managers use this method in their quality monitoring reports.