Minimization of the risk of no realization for the planning of the surgical interventions into the operating theatre

In the French context of the health expenses control, the operating theatre planning, that represents 9% of hospital's annual budget, presents a stake of first importance. The realization of the operating theatre planning is the fruit of the negotiation between the different actors of the block whose constraints and interests are often different. In this paper, we propose an algorithm of construction of an estimable planning, based on constraints satisfaction programming and whose objective is the minimization of the risk of no realization (RNR) of the planning. We present the results obtained at the time of the implementation of this model on a whole scenario of interventions to plan. Finally, we simulate the proposed planning in order to study the variations of RNR: robustness indicator and other performance productivity indicators.

[1]  F. Dexter,et al.  Estimating the duration of a case when the surgeon has not recently scheduled the procedure at the surgical suite. , 1999, Anesthesia and Analgesia.

[2]  Franklin Dexter.  Room I, 10/17/2000 2: 00 PM - 4: 00 PM (PS) Strategy to Decide Whether to Move the Last Case of the Day in an Operating Room to Another Empty Operating Room to Decrease Overtime Costs A-1173 , 2000 .

[3]  F. Dexter,et al.  Which algorithm for scheduling add-on elective cases maximizes operating room utilization? Use of bin packing algorithms and fuzzy constraints in operating room management. , 1999, Anesthesiology.

[4]  F. Dexter,et al.  Scheduling Surgical Cases into Overflow Block Time— Computer Simulation of the Effects of Scheduling Strategies on Operating Room Labor Costs , 2000, Anesthesia and analgesia.

[5]  John C. Fisk,et al.  An algorithm for 0‐1 multiple‐knapsack problems , 1978 .

[6]  F. Dexter,et al.  Method to Assist in the Scheduling of Add‐on Surgical Cases‐Upper Prediction Bounds for Surgical Case Durations Based on the Log‐normal Distribution , 1998, Anesthesiology.

[7]  F J Overdyk,et al.  Successful Strategies for Improving Operating Room Efficiency at Academic Institutions , 1998, Anesthesia and analgesia.

[8]  Nicos Christofides,et al.  Combinatorial optimization , 1979 .

[9]  F. Dexter.  A Strategy to Decide Whether to Move the Last Case of the Day in an Operating Room to Another Empty Operating Room to Decrease Overtime Labor Costs , 2000, Anesthesia and analgesia.

[10]  S. Martello,et al.  Solution of the zero-one multiple knapsack problem , 1980 .

[11]  C. Kooperberg,et al.  Statistical Modeling to Predict Elective Surgery Time: Comparison with a Computer Scheduling System and Surgeon-provided Estimates , 1996, Anesthesiology.

[12]  Luc Delesie,et al.  Bridging the gap between clinicians and health managers , 1998, Eur. J. Oper. Res..

[13]  C. Beattie,et al.  SUCCESSFUL STRATEGIES FOR IMPROVING OPERATING ROOM EFFICIENCY AT ACADEMIC INSTITUTIONS. AUTHORS' REPLY , 1999 .

[14]  A. Macario,et al.  Where Are the Costs in Perioperative Care?: Analysis of Hospital Costs and Charges for Inpatient Surgical Care , 1995 .