caa a22 4500 467935181 CHVBK 20180406152955.0 cr unu---uuuuu 170328e20060201xx s 000 0 eng 10.1007/s10729-006-6282-x doi (NATIONALLICENCE)springer-10.1007/s10729-006-6282-x Impact of surgical sequencing on post anesthesia care unit staffing [Elektronische Daten] [Eric Marcon, Franklin Dexter] This paper analyzes the impact of sequencing rules on the phase I post anesthesia care unit (PACU) staffing and over-utilized operating room (OR) time resulting from delays in PACU admission. The sequencing rules are applied to each surgeon's list of cases independently. Discrete event simulation shows the importance of having a sufficient number of PACU nurses. Sequencing rules have a large impact on the maximum number of patients receiving care in the PACU (i.e., peak of activity). Seven sequencing rules are tested, over a wide range of scenarios. The largest effect of sequencing was on the percentage of days with at least one delay in PACU admission. The best rules are those that smooth the flow of patients entering in the PACU (HIHD (Half Increase in OR time and Half Decrease in OR time) and MIX (MIX OR time)). We advise against using the LCF (Longest Cases First) and equivalent sequencing methods. They generate more over-utilized OR time, require more PACU nurses during the workday, and result in more days with at least one delay in PACU admission. Springer Science + Business Media, Inc., 2006 Operating Room and PACU: schedule nationallicence Optimization nationallicence Staffing nationallicence Economics nationallicence Marcon Eric Laboratory of Signal and Manufacturing Systems Analysis, Department Manufacturing System Management and Maintenance, Jean Monnet University of Saint Etienne, France aut Dexter Franklin Division of Management Consulting, Departments of Anesthesia and Health Management and Policy, University of Iowa, Iowa City, Iowa aut Health Care Management Science Kluwer Academic Publishers 9/1(2006-02-01), 87-98 1386-9620 9:1<87 2006 9 10729 https://doi.org/10.1007/s10729-006-6282-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10729-006-6282-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Marcon Eric Laboratory of Signal and Manufacturing Systems Analysis, Department Manufacturing System Management and Maintenance, Jean Monnet University of Saint Etienne, France aut NATIONALLICENCE 700 1- Dexter Franklin Division of Management Consulting, Departments of Anesthesia and Health Management and Policy, University of Iowa, Iowa City, Iowa aut NATIONALLICENCE 773 0- Health Care Management Science Kluwer Academic Publishers 9/1(2006-02-01), 87-98 1386-9620 9:1<87 2006 9 10729 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer