Explanation for the near-constant mean time remaining in surgical cases exceeding their estimated duration, necessary for appropriate display on electronic white boards

Anesthesia and Analgesia

Volumn 117, Issue 2, 2013, Pages 487-493

  Tiwari, Vikram ^a   Dexter, Franklin ^b   Rothman, Brian S ^a   Ehrenfeld, Jesse M ^a   Epstein, Richard H ^c  

^a VANDERBILT UNIVERSITY MEDICAL CENTER   (United States)

^b UNIVERSITY OF IOWA   (United States)

^c THOMAS JEFFERSON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYES THEOREM; CONFERENCE PAPER; OPERATING ROOM; OPERATION DURATION; PRIORITY JOURNAL; STATISTICAL MODEL;

APPOINTMENTS AND SCHEDULES; BAYES THEOREM; EFFICIENCY, ORGANIZATIONAL; HUMANS; MODELS, ORGANIZATIONAL; MODELS, STATISTICAL; OPERATING ROOM INFORMATION SYSTEMS; OPERATING ROOMS; PERSONNEL STAFFING AND SCHEDULING; PERSONNEL STAFFING AND SCHEDULING INFORMATION SYSTEMS; PROBABILITY; TIME FACTORS; TIME MANAGEMENT; WORKLOAD;

EID: 84881377903     PISSN: 00032999     EISSN: 15267598     Source Type: Journal    
DOI: 10.1213/ANE.0b013e31829772e9     Document Type: Conference Paper

References (26)

1. Riley R, Forsyth R, Manias E, Iedema R. Whiteboards: mediating professional tensions in clinical practice. Commun Med 2007;4:165-75
2. Dexter F, Epstein RH, Traub RD, Xiao Y. Making management decisions on the day of surgery based on operating room effciency and patient waiting times. Anesthesiology 2004;101:1444-53
3. Xiao Y, Dexter F, Hu P, Dutton RP. Usage of distributed displays of operating room video when real-time occupancy status was available. Anesth Analg 2008;106:554-60
4. Dexter F, Epstein RH, Marcon E, de Matta R. Strategies to reduce delays in admission into a postanesthesia care unit from operating rooms. J Perianesth Nurs 2005;20:92-102
5. Dexter F. Bed management displays to optimize patient fow from operating rooms to the post anesthesia care unit. J Peri Anesth Nursing 2007;22:218-9
6. Epstein RH, Dexter F. Mediated interruptions of anaesthesia providers using predictions of workload from anaesthesia information management system data. Anaesth Intensive Care 2012;40:803-12
7. Dexter F, Macario A, O'Neill L. A strategy for deciding operating room assignments for second-shift anesthetists. Anesth Analg 1999;89:920-4
8. Strum DP, May JH, Vargas LG. Modeling the uncertainty of surgical procedure times: comparison of log-normal and normal models. Anesthesiology 2000;92:1160-7
9. Strum DP, May JH, Sampson AR, Vargas LG, Spangler WE. Estimating times of surgeries with two component procedures: comparison of the lognormal and normal models. Anesthesiology 2003;98:232-40
10. Dexter F, Ledolter J. Bayesian prediction bounds and comparisons of operating room times even for procedures with few or no historic data. Anesthesiology 2005;103:1259-167
11. Dexter F, Epstein RH, Bayman EO, Ledolter J. Estimating surgical case durations and making comparisons among facilities: identifying facilities with lower anesthesia professional fees. Anesth Analg 2013;116:1103-15
12. Dexter F, Epstein RH, Lee JD, Ledolter J. Automatic updating of times remaining in surgical cases using bayesian analysis of historical case duration data and "instant messaging" updates from anesthesia providers. Anesth Analg 2009;108: 929-40
13. Ledolter J, Dexter F, Epstein RH. Analysis of variance of communication latencies in anesthesia: comparing means of multiple log-normal distributions. Anesth Analg 2011;113:888-96
14. Wachtel RE, Dexter F. Curriculum providing cognitive knowledge and problem-solving skills for anesthesia systems-based practice. J Grad Med Educ 2010;2:624-32
15. Dexter F, Masursky D, Wachtel RE, Nussmeier NA. Application of an online reference for reviewing basic statistical principles of operating room management. J Stat Educ 2010;18
16. Masursky D, Dexter F, Kwakye MO, Smallman B. Measure to quantify the infuence of time from end of surgery to tra-cheal extubation on operating room workfow. Anesth Analg 2012;115:402-6
17. Zhou J, Dexter F. Method to assist in the scheduling of add-on surgical cases-upper prediction bounds for surgical case durations based on the log-normal distribution. Anesthesiology 1998;89:1228-32
18. Dexter F, Ledolter J, Tiwari V, Epstein RH. Value of a scheduled duration quantifed in terms of equivalent numbers of historical cases. Anesth Analg 2013;117:205-10
19. Strum DP, Sampson AR, May JH, Vargas LG. Surgeon and type of anesthesia predict variability in surgical procedure times. Anesthesiology 2000;92:1454-66
20. Dexter F, Yue JC, Dow AJ. Predicting anesthesia times for diagnostic and interventional radiological procedures. Anesth Analg 2006;102:1491-500
21. Spangler WE, Strum DP, Vargas LG, May JH. Estimating procedure times for surgeries by determining location parameters for the lognormal model. Health Care Manag Sci 2004;7:97-104
22. Stepaniak PS, Heij C, Mannaerts GH, de Quelerij M, de Vries G. Modeling procedure and surgical times for current procedural terminology-anesthesia- surgeon combinations and evaluation in terms of case-duration prediction and operating room effciency: a multicenter study. Anesth Analg 2009;109: 1232-45
23. Dexter F, Xiao Y, Dow AJ, Strader MM, Ho D, Wachtel RE. Coordination of appointments for anesthesia care outside of operating rooms using an enterprise-wide scheduling system. Anesth Analg 2007;105:1701-10
24. Wachtel RE, Dexter F. Reducing tardiness from scheduled start times by making adjustments to the operating room schedule. Anesth Analg 2009;108:1902-9
25. Stepaniak PS, Mannaerts GH, de Quelerij M, de Vries G. The effect of the Operating Room Coordinator's risk appreciation on operating room effciency. Anesth Analg 2009;108: 1249-56
26. Dexter F, Wachtel RE, Epstein RH. Event-based knowledge elic-itation of operating room management decision-making using scenarios adapted from information systems data. BMC Med Inform Decis Mak 2011;11:2