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Outpatient Surgery E-Weekly

Contact Congress Over Drug Shortage Issues

A Kentucky congressman is urging surgical facilities to contact their members of Congress and request that they sign his letter demanding changes to...

N.J. Posts ASC Inspection Reports Online

State and federal inspection reports of New Jersey's ASCs are now available online, giving patients an opportunity to make more informed choices abo...

Are Opioids Necessary?

While it's not always practical, or even possible, to eliminate opioids from your post-op pain management regiment, reducing their use in favor of n...

Archive > August, 2006 Vol. VII, No. 8

Business Advisor

How Late Do Your Cases Start?

Franklin Dexter, MD, PhD

We all know what an OR schedule gone haywire is like. As the waits grow longer, the fuses of surgeons, staff and patients grow shorter. But here's a question you might be overlooking: Are you monitoring tardiness accurately? You're not if you're tabulating the number of cases that start late, instead of the average number of minutes all cases start late. Seems like we're splitting hairs, but as you'll see, there's a big difference between cases and minutes.

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Categories: Business Management, Peak Efficiency
Keywords:
Determining average tardiness; Your goal: Reduce average tardiness; Anesthesiology; Automatic Control Symposium; Average; Averaging; Bayesian; Control Problems; Control Symposium; Dexter F, Epstein RD, Traub RD, Xiao Y. Making; Dexter F, Ledolter J. Bayesian; Dexter F, Marcon E, Epstein RH. Monitoring; E, Epstein RH. Monitoring; E. Wachtel, PhD, MBA Your; Epstein RD, Traub RD, Xiao Y. Making; Epstein RH. Monitoring; F, Epstein RD, Traub RD, Xiao Y. Making; F, Ledolter J. Bayesian; F, Marcon E, Epstein RH. Monitoring; Federation; Information Control Problems; International Federation; J. Bayesi... show all keywords
Determining average tardiness; Your goal: Reduce average tardiness; Anesthesiology; Automatic Control Symposium; Average; Averaging; Bayesian; Control Problems; Control Symposium; Dexter F, Epstein RD, Traub RD, Xiao Y. Making; Dexter F, Ledolter J. Bayesian; Dexter F, Marcon E, Epstein RH. Monitoring; E, Epstein RH. Monitoring; E. Wachtel, PhD, MBA Your; Epstein RD, Traub RD, Xiao Y. Making; Epstein RH. Monitoring; F, Epstein RD, Traub RD, Xiao Y. Making; F, Ledolter J. Bayesian; F, Marcon E, Epstein RH. Monitoring; Federation; Information Control Problems; International Federation; J. Bayesian; Ledolter J. Bayesian; MBA Your; Making; Manufacturing; Marcon E, Epstein RH. Monitoring; Monitoring; ORs If; Patient; PhD, MBA Your; Problems; Proceedings; RD, Traub RD, Xiao Y. Making; RD, Xiao Y. Making; RH. Monitoring; Reduce; Reduce Tardiness; Results; Ruth E. Wachtel, PhD, MBA Your; Steps; Suppose; Symposium; Tardiness; Traub RD, Xiao Y. Making; Wachtel, PhD, MBA Your; Xiao Y. Making; Y. Making; actual; add; additional; admitting; alike; applies; arrive; assign; average; back; based; begin; believing; benchmarking; big; blood; bounds; calls; cancellations; case; cases; change; compare; comparisons; concentrate; data; day; decisions; decrease; delayed; delays; depending; determine; difference; direct; disrupted; draw; drawn; duration; efficiency; efforts; elective; ensure; enters; extent; facilities; facility; find; finish; follow; four-week; fuses; generally; goal; good; greater; grouping; grow; half; haywire; high; historical; housekeeper; immediately; incomplete; inevitably; information; interval; large; late; management; measure; minutes; misleading; monitor; monitoring; months; move; needed; number; nurse; operating; original; patient; percentage; performed; period; preceding; predictable; prediction; preparing; previous; procedures; prolonged; question; readied; ready; reduce; reducing; reliable; results; room; running; schedule; separate; sequence; sick; simple; single; slightly; small; smallest; specialties; splitting; staff; start; starts; strategy; suffer; suppose; surgeon; surgery; tabulating; tardiness; tempted; tests; time; times; total; turnover; valid; values; vary; waiting; waits; weeks; work; worry; yield

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