Small changes in operative time can yield discrete increases in operating room throughput

Journal of Endourology

Volumn 21, Issue 7, 2007, Pages 703-708

  Seim, Andreas R ^a   Dahl, Douglas M ^b   Sandberg, Warren S ^b  

^a NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

^b MASSACHUSETTS GENERAL HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; HUMAN; HYPOTHESIS; LAPAROSCOPIC SURGERY; OPERATING ROOM; OPERATION DURATION; PERIOPERATIVE PERIOD; PRIORITY JOURNAL; STATISTICAL ANALYSIS; SURGEON;

HUMANS; OPERATING ROOMS; RETROSPECTIVE STUDIES; TIME FACTORS; TIME MANAGEMENT;

EID: 34548148412     PISSN: 08927790     EISSN: None     Source Type: Journal    
DOI: 10.1089/end.2007.0030     Document Type: Article

References (18)

1. Macario A, Dexter F, Traub RD. Hospital profitability per hour of operating room time can vary among surgeons. Anesth Analg 2001;93:669.
2. Dexter F, Coffin S, Tinker JH. Decreases in anesthesia-controlled time cannot permit one additional surgical operation to be reliably scheduled during the workday. Anesth Analg 1995;81:1263.
3. Dexter F, Macario A. Decrease in case duration required to complete an additional case during regularly scheduled hours in an operating room suite: A computer simulation study. Anesth Analg 1999;88:72.
4. Friedman DM, Sokal SM, Chang Y, et al. Increasing operating room efficiency through parallel processing. Ann Surg 2006;243: 10.
5. Cendan JC, Good M. Interdisciplinary work flow assessment and redesign decreases operating room turnover time and allows for additional caseload. Arch Surg 2006;141:65.
6. Hanss R, Buttgereit B, Tonner PH, et al. Overlapping induction of anesthesia: An analysis of benefits and costs. Anesthesiology 2005; 103:391.
7. Sandberg WS, Daily B, Egan M, et al. Deliberate perioperative systems design improves operating room throughput. Anesthesiology 2005;103:406.
8. Torkki PM, Marjamaa RA, Torkki MI, et al. Use of anesthesia induction rooms can increase the number of urgent orthopedic cases completed within 7 hours. Anesthesiology 2005;103:401.
9. Stahl JE, Sandberg WS, Daily B, et al. Reorganizing patient care and workflow in the operating room: A cost-effectiveness study. Surgery 2006;139:717.
10. Menon M, Shrivastava A, Tewari A, et al. Laparoscopic and robot assisted radical prostatectomy: Establishment of a structured program and preliminary analysis of outcomes. J Urol 2002;168:945.
11. Healey AN, Sevdalis N, Vincent CA. Measuring intra-operative interference from distraction and interruption observed in the operating theatre. Ergonomics 2006;49:589.
12. Traverso LW, Koo KP, Hargrave K, et al. Standardizing laparoscopic procedure time and determining the effect of patient age/gender and presence or absence of surgical residents during operation: A prospective multicenter trial. Surg Endosc 1997;11:226.
13. Seim A, Andersen B, Sandberg WS. Statistical process control as a tool for monitoring nonoperative time. Anesthesiology 2006;105: 370.
14. Montgomery DC. Introduction to Statistical Quality Control. New York: John Wiley, 2005.
15. Zacharoulis D, O'Boyle CJ, Sedman PC, et al. Laparoscopic fundoplication: A 10-year learning curve. Surg Endosc 2006;20:1662.
16. Wachtel RE, Dexter F, Lubarsky DA, Financial implications of a hospital's specialization in rare physiologically complex surgical procedures. Anesthesiology 2005;103:161.
17. Dexter F, Blake JT, Penning DH, et al. Calculating a potential increase in hospital margin for elective surgery by changing operating room time allocations or increasing nursing staffing to permit completion of more cases: A case study. Anesth Analg 2002;94:138.
18. Dexter F, Ledolter J. Managing risk and expected financial return from selective expansion of operating room capacity: Mean-variance analysis of a hospital's portfolio of surgeons. Anesth Analg 2003;97:190.