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Volumn 52, Issue 9, 2005, Pages 935-939

Validity and usefulness of a method to monitor surgical services' average bias in scheduled case durations

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CONFIDENCE INTERVAL; HEALTH CARE PLANNING; HEALTH CARE UTILIZATION; HOSPITAL MANAGEMENT; HUMAN; MATHEMATICAL COMPUTING; MEDICAL AUDIT; NORMAL DISTRIBUTION; OPERATING ROOM; OPERATION DURATION; PATIENT SCHEDULING; PREDICTION; PRIORITY JOURNAL; STATISTICAL ANALYSIS; STUDENT T TEST; SURGEON; VALIDATION PROCESS; WORKLOAD;

EID: 28044440385     PISSN: 0832610X     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF03022054     Document Type: Article
Times cited : (37)

References (15)
  • 1
    • 0032933748 scopus 로고    scopus 로고
    • Surgical subspecialty block utilization and capacity planning: A minimal cost analysis model
    • Strum DP, Vargas LG, May JH. Surgical subspecialty block utilization and capacity planning: a minimal cost analysis model. Anesthesiology 1999; 90: 1176-85.
    • (1999) Anesthesiology , vol.90 , pp. 1176-1185
    • Strum, D.P.1    Vargas, L.G.2    May, J.H.3
  • 2
    • 9444221371 scopus 로고    scopus 로고
    • Making management decisions on the day of surgery based on operating room efficiency and patient waiting times
    • Dexter F, Epstein RH, Traub RD, Xiao Y. Making management decisions on the day of surgery based on operating room efficiency and patient waiting times. Anesthesiology 2004; 101: 1444-53.
    • (2004) Anesthesiology , vol.101 , pp. 1444-1453
    • Dexter, F.1    Epstein, R.H.2    Traub, R.D.3    Xiao, Y.4
  • 3
    • 0037302833 scopus 로고    scopus 로고
    • How to release allocated operating room time to increase efficiency: Predicting which surgical service will have the most underutilized operating room time
    • Dexter F, Traub RD, Macario A. How to release allocated operating room time to increase efficiency: predicting which surgical service will have the most underutilized operating room time. Anesth Analg 2003;96:507-12.
    • (2003) Anesth Analg , vol.96 , pp. 507-512
    • Dexter, F.1    Traub, R.D.2    Macario, A.3
  • 4
    • 0036183258 scopus 로고    scopus 로고
    • Statistical power analysis to estimate how many months of data are required to identify operating room staffing solutions to reduce labor costs and increase productivity
    • Epstein RH, Dexter F. Statistical power analysis to estimate how many months of data are required to identify operating room staffing solutions to reduce labor costs and increase productivity. Anesth Analg 2002; 94: 640-3.
    • (2002) Anesth Analg , vol.94 , pp. 640-643
    • Epstein, R.H.1    Dexter, F.2
  • 5
    • 0036210422 scopus 로고    scopus 로고
    • How to schedule elective surgical cases into specific operating rooms to maximize the efficiency of use of operating room time
    • Dexter F, Traub RD. How to schedule elective surgical cases into specific operating rooms to maximize the efficiency of use of operating room time. Anesth Analg 2002; 94: 933-42.
    • (2002) Anesth Analg , vol.94 , pp. 933-942
    • Dexter, F.1    Traub, R.D.2
  • 6
    • 0141792958 scopus 로고    scopus 로고
    • Use of operating room information system data to predict the impact of reducing turnover times on staffing costs
    • Dexter F, Abouleish AE, Epstein RH, Whitten CW, Lubarsky DA. Use of operating room information system data to predict the impact of reducing turnover times on staffing costs. Anesth Analg 2003; 97: 1119-26.
    • (2003) Anesth Analg , vol.97 , pp. 1119-1126
    • Dexter, F.1    Abouleish, A.E.2    Epstein, R.H.3    Whitten, C.W.4    Lubarsky, D.A.5
  • 7
    • 1342288644 scopus 로고    scopus 로고
    • When to release allocated operating room time to increase operating room efficiency
    • Dexter F, Macario A. When to release allocated operating room time to increase operating room efficiency. Anesth Analg 2004; 98: 758-62.
    • (2004) Anesth Analg , vol.98 , pp. 758-762
    • Dexter, F.1    Macario, A.2
  • 8
    • 0032747306 scopus 로고    scopus 로고
    • Relying solely on historical surgical times to estimate accurately future surgical times is unlikely to reduce the average length of time cases finish late
    • Zhou J, Dexter F, Macario A, Lubarsky DA. Relying solely on historical surgical times to estimate accurately future surgical times is unlikely to reduce the average length of time cases finish late. J Clin Anesth 1999; 11: 601-5.
    • (1999) J Clin Anesth , vol.11 , pp. 601-605
    • Zhou, J.1    Dexter, F.2    Macario, A.3    Lubarsky, D.A.4
  • 9
    • 0036233935 scopus 로고    scopus 로고
    • What sample sizes are required for pooling surgical case durations among facilities to decrease the incidence of procedures with little historical data?
    • Dexter F, Traub RD, Fleisher LA, Rock P. What sample sizes are required for pooling surgical case durations among facilities to decrease the incidence of procedures with little historical data? Anesthesiology 2002; 96: 1230-6.
    • (2002) Anesthesiology , vol.96 , pp. 1230-1236
    • Dexter, F.1    Traub, R.D.2    Fleisher, L.A.3    Rock, P.4
  • 10
    • 0034110589 scopus 로고    scopus 로고
    • What is the relative frequency of uncommon ambulatory surgery procedures in the United States with an anesthesia provider?
    • Dexter F, Macario A. What is the relative frequency of uncommon ambulatory surgery procedures in the United States with an anesthesia provider? Anesth Analg 2000; 90: 1343-7.
    • (2000) Anesth Analg , vol.90 , pp. 1343-1347
    • Dexter, F.1    Macario, A.2
  • 11
    • 0030443311 scopus 로고    scopus 로고
    • Statistical modeling to predict elective surgery time. Comparison with a computer scheduling system and surgeon - Provided estimates
    • Wright IH, Kooperberg C, Bonar BA, Bashein G. Statistical modeling to predict elective surgery time. Comparison with a computer scheduling system and surgeon - provided estimates. Anesthesiology 1996; 85: 1235-45.
    • (1996) Anesthesiology , vol.85 , pp. 1235-1245
    • Wright, I.H.1    Kooperberg, C.2    Bonar, B.A.3    Bashein, G.4
  • 12
    • 0025146750 scopus 로고
    • Comparison of subjective versus data base approaches for improving efficiency of operating room scheduling
    • Shukla RK, Ketcham JS, Ozcan YA. Comparison of subjective versus data base approaches for improving efficiency of operating room scheduling. Health Serv Manage Res 1990; 3: 74-81.
    • (1990) Health Serv Manage Res , vol.3 , pp. 74-81
    • Shukla, R.K.1    Ketcham, J.S.2    Ozcan, Y.A.3
  • 13
    • 0035750207 scopus 로고    scopus 로고
    • Computerized O.R. scheduling: Is it an accurate predictor of surgical time?
    • Sorge M. Computerized O.R. scheduling: is it an accurate predictor of surgical time? Can Oper Room Nurs J 2001; 19: 7-18.
    • (2001) Can Oper Room Nurs J , vol.19 , pp. 7-18
    • Sorge, M.1
  • 14
    • 0038314560 scopus 로고    scopus 로고
    • Optimizing second shift OR staffing
    • Dexter F, Epstein RH. Optimizing second shift OR staffing. AORN J 2003; 77: 825-30.
    • (2003) AORN J , vol.77 , pp. 825-830
    • Dexter, F.1    Epstein, R.H.2
  • 15
    • 0032744361 scopus 로고    scopus 로고
    • Forecasting surgical groups' total hours of elective cases for allocation of block time. Application of time series analysis to operating room management
    • Dexter F, Macario A, Qian F, Traub RD. Forecasting surgical groups' total hours of elective cases for allocation of block time. Application of time series analysis to operating room management. Anesthesiology 1999; 91: 1501-8.
    • (1999) Anesthesiology , vol.91 , pp. 1501-1508
    • Dexter, F.1    Macario, A.2    Qian, F.3    Traub, R.D.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.