Table 1.
A synoptic overview of the main related work on process mining in breast cancer with various perspectives.
Fig 1.
Regional Decree 3823/2019, Tuscany region.
Fig 2.
Event logs and waiting times with corresponding process maps, extracted from biopsy to surgery for two hypothetical patients (excluding non-diagnostic exams).
(a) shows the two patients’ care pathways. (b) displays the frequency view of the process map mined from panel (a). (c) presents the performance view of the same process.
Fig 3.
Legend of the process maps.
Table 2.
Statistics on patients who underwent surgery in the four hospitals considered.
Case duration is calculated from the time of the first biopsy to the time of surgery.
Fig 4.
Waiting time distribution: Case duration (biopsy to surgery) for each hospital.
Fig 5.
Process map mined for hospital H1.
Table 3.
Costs and volume of exams conducted at hospital H1.
Costs are expressed in scaled standardized euros (s€). The table reports the median, mean, and standard deviation (S.D.) of costs, along with the frequency and number of types of each exam.
Fig 6.
Process map mined for hospital H2.
Table 4.
Costs and volume of exams conducted at hospital H2.
Costs are expressed in scaled standardized euros (s€). The table reports the median, mean, and standard deviation (S.D.) of costs, along with the frequency and number of types of each exam.
Fig 7.
Process map mined for hospital H3.
Table 5.
Costs and volume of exams at hospital H3.
Costs are in scaled standardized euros (s€).
Fig 8.
Process map mined for hospital H4.
Table 6.
Costs and volume of exams at hospital H4.
Costs are in scaled standardized euros (s€).
Fig 9.
Frequencies of average examination types across four hospitals.
Fig 10.
Costs of average examination types across four hospitals, in scaled standardized euros (s€).
Fig 11.
Mean total cost per patient, obtained by combining the average cost and frequency of each examination type for the diagnostic phase (biopsy–surgery), in scaled standardized euros (s€).