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Overview of output files

This section explains the meaning of the output files.

Output - patient pathway (Simmer)

Output - logs

Full simulation logs are saved if flag_savedata_fulllogs <- TRUE in config.R.

These will be large if used for very large simulations (e.g. high number of replications / volume of arrivals / attributes) so if not directly needed at this granularity, could be turned off.

File Description
log_arrivals A log of arrivals (demand). Both ambulance and direct. Each row is an arrival.
log_resources An event log of resource use. Both double staffed vehicles and ED. A new row signals a timestamp in which either the queue, occupancy or capacity of a resource changed.
log_attributes_w A log of arrivals and their various characteristics and notable timestamps. Attributes saved are defined in the trajectory.R specification.

Output - log of arrivals

Variables in log_arrivals.xlsx.

File Description
name Unique patient identifier.
start_time Start of activity.
end_time End of activity (model exit)
activity_time Difference between start and end time
finished Flag on whether activity had finished by the end of the simulation
replication The model run replication number

Output - log of resources

Variables in log_resources.xlsx.

Variable Description
resource Resource (server) type.
time Timestamp marking change in utilisation profile from previous row's characteristics
server Number patients in server
queue Number patients in queue for that server
capacity Capacity of that server
queue_size Maximum allowed queue size of that server (#NUM means infinite)
system Number patients in server system (in queue or in server itself)
limit Maximum allowed system (queue+server) size (#NUM means infinite)
replication The model run replication number
id n/a

Output - log of attributes

Variables in log_attributes_w.xlsx.

Variable Description
name Unique patient identifier (prefix "PatientD_" if Direct/Walk-In)
replication The model replication number
id nan
Cat The ambulance category (1,2,3,4). Will be blank for Direct/Walk-In.
Convey The care model (1=S&C ; 2=S&T; 3=H&T). Will be blank for Direct/Walk-In.
T_timetoscene The sampled time to scene interval (seconds)
T_timeatscene The sampled time at scene interval (seconds)
T_timetosite The sampled time to site interval (seconds)
T_unavprehand The sampled unavailable pre-handover time interval (seconds)
T_timetoclear The sampled time to clear interval (seconds)
t_Rclockstart The timestamp of response time clock start (here same as arrival)
n_resources_allocate The sampled number of resources to allocate.
n_resources_arrive The sampled number of resources to arrive at site.
t_ambulanceseized The timestamp at which an ambulance could be seized / allocated.
t_hospitalarrival The timestamp of hospital arrival.
Acuity The sampled acuity (1=highest/resus ; 5 = lowest/minor)
LoS Defined time in A&E department.
t_EDhandover The timestamp of ED handover
t_Rclockstop The timestamp of response time clock stop / arrival at scene
Done Indication of whether the activity is done by the endo f the simulation and how (1=S&C ; 2=S&T ; 3=H&T; 0=Direct; blank means not finished)
t_JCTend The timestamp of the job cycle time end (ambulance perspective)
ConveyDestED The conveyance destination
t_ambclear The timestamp the ambulance cleared
t_EDclockstop The timestamp of ED clock stop (end of time in A&E)
T_allocate The resulting time to allocate interval (seconds) = t_ambulanceseized - t_Rclockstart
T_prehandover The resulting time to handover interval (seconds) = t_Edhandover - t_hospitalarrival
T_JCT The resulting total JCT time interval (seconds) = t_JCTend - t_Rclockstart (this differs from a more classic definition that excludes time from call connect to allocate as till that point no resource has been on the job)
Kp_Tresponsetime The resulting responde time interval (seconds) = t_Rclockstop - t_Rclockstart
T_ED The time in ED interval (seconds) = t_Edclockstop - t_Edhandover

Output - KPI files

Overall (simulation time) KPIs are saved if flag_savedata_overallKPIs <- TRUE in config.R.

Step-wise (by steps of simulation time) KPIs are saved if flag_savedata_stepwiseKPIs <- TRUE in config.R.

Contrary to the full logs, these files save more post-processed KPIs (though all resulting from those two logs).

KPIs include:

  • Response times (Cat1, 2, 3, 4) - mean and 90th percentile
  • Handover delays 30+ (%)
  • Handover delays 60+ (%)
  • Total time lost to handover delays (TLAHD)
  • Total job cycle time (JCT)
  • Double crewed ambulance (DCA) time - mean, sd
  • Time to allocate - mean, sd
  • Call queue (queueing for an ambulance)
  • Site queue (queueing for ED)
  • Resource utilisation (%) - mean, sd

Replication or batch: Some files give results "by replication" while others summarise these further "across replications" ("batch"). This is indicated in the table below.

If batch - replication aggregate or flat: In some cases, this "batch" KPI is derived by considering all arrivals regardless of replication ("flat"). In others, the batch KPI is found by first calculating the KPI per replication and then finding the mean and standard deviation of this KPI among replications ("aggregate").

Stepwise: Some KPIs are calculated for different steps (e.g. days, time windows) of the simulation window while other times they are calculated for the overall simulation time.

Disaggregations: Where certain disaggregations were used, this is indicated (e.g. category for response times ; care model for time to allocate; resource type for utilisation; etc)

An overview of the meaning of KPI output files is given below (navigate rightwards in the table to see all columns).

Filename Description KPI theme KPIs Statistical measures Replication or batch If batch - replication aggregate or flat Stepwise Disaggregations Comments
row.xlsx Log of what-if levers in this scenario nan nan nan Batch nan nan nan nan
df_scenarios.xlsx Log of what-if levels across scenarios nan nan nan Scenario nan nan nan nan
KPI_overall_DCAtime.xlsx Double-crewed ambulance time DCA time DCA time median, mean, sd, n Batch Flat nan nan nan
KPI_overall_HO.xlsx Handover delay KPIs Handover delays Handover delays HO30+, HO60+, TLAHD, n_ambu Batch Replication aggregate - mean, sd nan nan nan
KPI_overall_HO_deciles.xlsx Handover delay KPIs Handover delays Handover delays Deciles Batch Flat nan nan nan
KPI_overall_JCT.xlsx Job cycle time JCT JCT median, mean, sd, n Batch Flat nan nan nan
KPI_overall_JCT_conv.xlsx Job cycle time JCT JCT median, mean, sd, n Batch Flat nan conveyance nan
KPI_overall_val_cat.xlsx Average time to allocation; time for prehandover; job cycle time; response time, by category JCT components T_allocate; T_prehandover; T_JCT; T_responsetime mean, median Batch Flat nan category nan
KPI_overall_val_catconv.xlsx Average time to allocation; time for prehandover; job cycle time; response time, by category and conveyance JCT components T_allocate; T_prehandover; T_JCT; T_responsetime mean, median Batch Flat nan category; conveyance nan
KPI_overall_val_conv.xlsx Average time to allocation; time for prehandover; job cycle time; response time, by conveyance JCT components T_allocate; T_prehandover; T_JCT; T_responsetime mean, median Batch Flat nan conveyance nan
KPI_step_CallStack.xlsx Call Stack by replication and simulation timestep interval Call Stack Call Queue mean Replication nan Yes nan nan
KPI_step_HO.xlsx Handover delay KPIs by replication and timestep interval Handover delays Handover delays HO30+, HO60+, TLAHD, n_ambu Replication nan Yes nan nan
KPI_step_RT.xlsx Response time KPIs by replication, timestep interval and category Response times Response times median, 90%ile, mean Replication nan Yes category nan
KPI_step_SiteQueue.xlsx Site Queue by replication and simulation timestep interval Site queue Site Queue mean Replication nan Yes nan nan
KPIbatch_overall_RT.xlsx Overall response time Response times Response time median, 90%ile, mean Batch Replication aggregate - mean nan nan nan
KPIbatch_overall_RTcat.xlsx Response time by category Response times Response time median, 90%ile, mean Batch Replication aggregate - mean, sd nan category nan
KPIbatch_overall_RU.xlsx Resource utilisation Resource utilisation Utilisation Utilisation Batch Replication aggregate - mean, sd nan resource type nan
Queue Queue
KPIbatch_overall_val.xlsx Batch-level average time to allocation; time for prehandover; job cycle time; response time JCT components T_allocate; T_prehandover; T_JCT; T_responsetime mean, median Batch Replication aggregate - mean, sd nan nan nan
KPIflat_LoS Time in department by category Time in A&E department Time in A&E department mean Batch Flat - mean nan category nan
KPIbatch_LoS Time in department by category by replication Time in A&E department Time in A&E department mean Replication nan nan category nan
KPIrep_overall_HO Handover delay KPIs by replication Handover delays Handover delays HO30+, HO60+, TLAHD, n_ambu Replication nan nan nan nan
KPIrep_overall_HT Overall response time by replication Response times Response time median, 90%ile, mean Replication nan nan nan nan
KPIrep_overall_RT_cat Response time by category and replication Response times Response time median, 90%ile, mean Replication nan nan category nan
KPIrep_overall_RU Resource utilisation by replication Resource utilisation Utilisation Utilisation Replication nan nan resource type nan
Queue Queue
KPIrep_overall_val_cat Average time to allocation; time for prehandover; job cycle time; response time, by category and replication JCT components T_allocate; T_prehandover; T_JCT; T_responsetime mean, median Replication nan nan category nan
parameterlistaudit.xlsx An Rdata file keeping a log of most parameters (globals, user) used in the model rul nan nan nan nan nan nan nan nan

Output - plot files

A set of plots related to the KPIs are saved if flag_saveplots <- TRUE in config.R.

Some plots may, depending on the nature of the scenario, benefit from different scaling of presentation. When a run ends, all plots are kept in memory as plot objects in a structure called plot_list. These can be further adapted with ggplot as needed, or for instance saved as vector files (.svg) for image processing.

Alternatively, though we generate these plots for ease, all of them can be generated independently by the user from one of the three full logs.

An overview of the plots is given below.

Filename Description Derived via
plot_arri_cat_CM Arrivals over time, per category and conveyance. Arrivals for walk-ins (99). log of attributes
plot_arri_cat_DnC Arrivals over time for three replications and by category. Demand input in black, supply schedule in red. log of attributes
plot_Kp_HO_bp Handover KPIs stepwise over simulation time. Boxplots show variation among replications. Dashed horizontal lines will show reference levels given by user. log of attributes
plot_Kp_HO_bp_y0 As 'plot_Kp_HO_bp' but starting at y=0 log of attributes
plot_Kp_HO_bp_rep As 'plot_Kp_HO_bp' but by replication (up to 3) log of attributes
plot_Kp_RT90_bp_d14 90th percentile of response time by category, in the timestep. Boxplots show variation among replications. log of attributes
plot_Kp_RT90_bp_d14 As 'plot_Kp_RT90_bp_d14' but vertically stacked. log of attributes
plot_Kp_RTmean_bp_d14 Mean of response time by category, in the timestep. Boxplots show variation among replications. log of attributes
plot_Kp_Rtmean_bp_ref_freey_d14 As 'plot_Kp_Rtmean_bp' but vertically stacked. Dashed horizontal lines will show reference levels given by user. log of attributes
plot_Kp_Rtmean_bp_ref_freey0_d14 As 'plot_Kp_Rtmean_bp_ref_freey_d14' but starting at y=0. log of attributes
plot_RU_instant_ Instantaneous utilisation of resources (ambulance, A&E bay). Server capacity as dashed blue line. Server use as full blue line. Queues shown as filled red lines. Multiple traces correspond to multiple replications. log of resources
plot_RU_KPI Overall utilisation of resources (ambulance, A&E bay), % log of resources
p_KPI_cq_1 Average calls queued per time step. Boxplots show variation among replications. Time step as 6 hours. log of attributes
p_KPI_sq_1_day Average ambulances queued at ED per time step. Boxplots show variation among replications. Time step as 24 hours. log of attributes