From: Operations research for resource planning and -use in radiotherapy: a literature review
Reference | Subject of research | Hierarchical level | OR method(s) | Extent of implementation | (Potential) Impact on performance |
---|---|---|---|---|---|
Thomas [45] | LINACs’ capacity dimensioning | Strategic | CS | II | 86% patients begin treatment within 10 days for a spare capacity > = 10\% |
Proctor et al. [46] | Patient flow analysis | Strategic | CS | III | 82% of patients begin treatment within 14Â days |
Kapamara et al. [47] | Patient flow analysis | Strategic | CS | II | 2% reduction in patients’ waiting times |
Werker et al. [26] | Throughput optimization in RT (pre-treatment stage) | Strategic | CS | IV | 20% reduction in patients’ waiting times |
Joustra et al. [25] | Throughput optimization in RT | Strategic | CS + QT | IV | Percentage of patients treated within 21 days increase from 39% to 92% |
Aitkenhead et al. [48] | Throughput optimization in a proton therapy facility | Tactical | CS | III | Deliver over 100 fractions per working day with 4 delivery rooms |
Shtiliyanov et al.[49] | Evaluation of radiotherapy centers | Strategic | MP + CS | III | Not mentioned |
Price and Wasil [50] | Throughput optimization in a proton therapy facility | Strategic | CS | II | Average increase of 2.1 patients treated per hour |