Door-to-doctor time is the single most-watched ED metric · for the regulator, for the press, and for the patient. Insufficient triage capacity, mis-allocated provider resources, or registration bottlenecks compound into accreditation findings and reputation damage. The model captures the full ED chain from triage through disposition and surfaces the layout, staffing, and process interventions that bring door-to-doctor under target.
Triage station · registration · acuity-based pathway · provider allocation · diagnostic ordering · disposition.
Door-to-doctor time · door-to-disposition · ED LOS P95 · bed occupancy · LWBS rate.
Triage layout · staffing roster · provider-in-triage policy · fast-track lane investment · NABH/JCI accreditation evidence.
Each operating theatre represents 4 to 8 USD million of capex annually. Under-utilisation kills the ROI. Over-scheduling kills the surgeon and the patient. The model captures case scheduling, turnover, staff utilisation, equipment availability, and recovery bay capacity · then validates the OR build-out business case, scheduling policy, and turnover-time reduction studies.
Case scheduling · turnover time · staff utilisation · equipment availability · recovery bay capacity.
OR utilisation % · turnover time · case mix · on-time start · first-case start.
OR build-out business case · scheduling policy · turnover-time reduction · recovery bay sizing.
Bed occupancy decisions ripple through admission policy, transfer pathways, and discharge planning. Census volatility at the ward level surfaces upstream into ED boarding and downstream into surgical case cancellation. The model captures admission-discharge cycle, LOS variability per service line, transfer rules, and seasonal patterns · then validates ward expansion business cases, transfer policy, and discharge planning interventions.
Ward census · admission-discharge cycle · LOS variability · transfer bottlenecks · seasonal patterns.
Bed occupancy % · ED boarding time · transfer delay · LOS P95 per service line · re-admission rate.
Ward expansion · transfer policy · discharge planning · admission criteria · NABH/JCI evidence.
Outpatient queue management decisions trade staffing cost against access. Appointment slot design that ignores walk-in volume guarantees an unhappy clinic on Monday morning. Diagnostic-to-consult sequencing that ignores hand-off ergonomics guarantees provider frustration. The model surfaces both.
Appointment slot design · walk-in handling · diagnostic-to-consult sequencing · provider rotation.
Average wait · clinic utilisation · LWBS rate · provider productivity.
Slot design · staffing roster · walk-in policy · clinic layout · diagnostic-to-consult workflow.
Diagnostic and pharmacy decisions sit on the critical path of patient flow. Lab turnaround that lags the inpatient round delays disposition. Pharmacy dispense queue that lags discharge planning delays bed turnover. The model puts both on the same clock as the rest of the operation.
Lab turnaround · imaging throughput · pharmacy dispense queue · sample logistics · stat vs routine.
Lab TAT P95 · imaging utilisation · pharmacy dispense time · stat-result delay.
Lab capex sizing · imaging fleet · pharmacy automation business case · sample logistics redesign.
Surge capacity is the test of the operational design. Pandemic patient wave compresses years of capacity decisions into weeks. Mass casualty events test triage and resource allocation. Staff shortage and supply disruption test contingency plans. The model runs every surge scenario against steady-state baseline and quantifies the capacity, the triage pathway resilience, and the contingency cost.
Pandemic patient wave · mass casualty event · staff shortage · supply disruption · cascading scenarios.
Surge capacity · triage pathway resilience · staff utilisation under stress · contingency cost.
Surge plan validation · contingency procurement · IROPS staffing policy · public health regulator evidence.
Every healthcare simulation engagement conforms to eight layered standards covering platform, validation, accreditation, quality, privacy, and data exchange. The platform is the tool. The discipline is the model. The Chartered Engineer is the signature.
Hero discrete event simulation platform for healthcare · the simulation model is the canonical deliverable
Validation, Verification and Accreditation framework
National Accreditation Board for Hospitals (India) · accreditation framework
Joint Commission International · global hospital accreditation
Centers for Medicare Services hospital quality framework
Patient data privacy framework for any data integration
Operational data model · simulation input data structure
Healthcare data exchange standards · for EHR integration
The model is the proof. The report is the audit trail. The recommendations are the executable artifact. Outputs map to Wistwin digital twin layer for live-vs-design comparison once the facility is operational.
Delivered to client as a FlexSim .fsm file · runs on client license · documented with parameter sheets and assumption log.
Build-spec verification · historical data validation · sensitivity analysis on top 3 drivers · ASA VV+A framework.
Operational targets · operator and regulator KPIs · target vs simulated · evidence-grade.
Layout · process · technology interventions · order-of-magnitude costed.
Every run captured · audit-ready and reproducible.
Every section signed · audit-ready · regulator-ready · lender-ready.
Client names withheld. Representative of multiple engagements in this category.
Door-to-doctor time reduced from 38 minutes to 22 minutes through triage redesign and provider-in-triage policy. NABH compliance evidence pack delivered alongside the operational improvement. 6-month engagement.
Operating theatre utilisation increased from 71% to 86% through scheduling policy and turnover-time reduction. ROI 9-month payback. JCI-aligned documentation.
Surge scenarios modelled against the operational steady-state for 4 hospitals. Contingency staffing roster and supply procurement plan validated against scenario stress tests. Public health regulator submission supported by the simulation evidence.
Healthcare discrete event simulation models hospital, clinic, and integrated campus operations as sequences of discrete events · patient arrivals, triage, registration, provider encounters, diagnostics, dispositions. You need it when a capex or operations decision is too big to commit on spreadsheet evidence · ED capacity expansion, OR build-out business cases, ward block additions, outpatient layout redesign, surge planning for pandemic or mass casualty scenarios.
The hero discrete event simulation platform for healthcare work is FlexSim Healthcare. AnyLogic and Simio are available where the client has standardised on those platforms. The platform is the tool · the model and the Chartered Engineer signature are the value.
Four to six weeks for a single department (ED only, OR only). Eight to twelve weeks for whole-hospital. Sixteen weeks for an integrated multi-facility campus. Faster if EHR exports and historical patient flow data are clean and available.
Yes when the client provides EHR exports. Standard validation runs against 6 to 12 months of historical patient flow data. Live EHR integration is possible but rarely required · most engagements use historical exports for validation.
Acute hospitals, multi-speciality clinics, day-care surgery centres, diagnostic centres, ambulatory surgery centres, integrated healthcare campuses. Each setting has FlexSim Healthcare resource libraries tuned to its operational pattern.
The ED model captures triage, registration, acuity-based pathway, resource allocation, provider assignment, diagnostic ordering, and disposition. The output measures door-to-doctor, door-to-disposition, length of stay, and bed occupancy against operator and regulator targets.
Yes. Disparate-population access modelling is a frequent use case for public health systems. The model can run against demographic-stratified arrival profiles and surface inequitable resource allocation patterns.
Yes. Outputs map directly to standard healthcare KPIs · CMS hospital quality, NABH, JCI accreditation. The verification + validation report and CEng MIE FIE signature support regulator submissions and accreditation processes.
Yes. Standard surge scenarios · pandemic patient wave, mass casualty event, staff shortage, supply disruption · each runs against steady-state baseline to compute surge capacity, triage pathway resilience, and contingency cost.
Yes. The OR model captures case scheduling, turnover time, staff utilisation, equipment availability, and recovery bay capacity. Output supports OR build-out business cases, scheduling policy decisions, and turnover-time reduction studies.
Yes when the client has BIM in place. FlexSim imports IFC geometry. Output KPIs publish to the digital twin layer for live-vs-design comparison once the facility is operational.
Six artifacts · native simulation model (.fsm file delivered), verification + validation report against ASA VV+A, KPI scorecard mapped to NABH/JCI/CMS targets, recommendation register, scenario log, CEng MIE FIE signature.
Engagement scope is confirmed during a 30-minute consultation. Written estimate within five business days · no published price · scope drives the proposal.
Tell us the facility, the decision you need to defend, and the timeline. A practice lead responds within one business day. Written estimate within 5 business days · no published price · scope drives the proposal.
Scope your model