The effect of overlapping surgical scheduling on operating theatre productivity: a narrative review

Figures

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  Figure 1. Data from Padegimas et al. [17] for their examples of (a) two parallel, independent operating lists (Theatre 1 (red) and Theatre 2 (blue)) each with three cases of 3‐h duration and a turnover time between cases of 45 min and (b) an overlapping model where the Theatre 1 (red) list resembles that in (a) and the cases in the Theatre 2 (blue) list are staggered such that anaesthesia commences to enable the senior surgeon from the Theatre 1 (red) list to start Theatre 2 (blue) surgery after the critical portion in Theatre 1 (red) is complete. Note that this overlapping model can, within the time available, only deliver four completed cases vs. six in the conventional model shown in (a). [Colour figure can be viewed at wileyonlinelibrary.com]

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  Figure 2. Two hypothetical 9‐h lists (Theatre 1 (red) and Theatre 2 (blue)), conventionally scheduled, with duration of each operation 150 min and turnover 30 min. The times of operations (start and end) are shown and as a percentage of the total scheduled list time. The performance metrics are shown in Table 1. [Colour figure can be viewed at wileyonlinelibrary.com]

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  Figure 3. Two hypothetical 9‐h lists (Theatre 1 (red) and Theatre 2 (blue)), with overlapping scheduling, with duration of each operation 150 min and turnover 30 min. The times of operations (start and end) are shown. The performance metrics are shown in Table 2. [Colour figure can be viewed at wileyonlinelibrary.com]