Scenario Setup
Define Hospital Details
Enter the basic information about the hospital and its service area.
Set Relocation Parameters
Specify details about the proposed resource relocation, including distance and incentives.
Review and Simulate
Review your inputs, get AI insights, and run the simulation.
Location Map
System Dynamics Simulation
Configure Simulation
Set the time horizon and step for the simulation.
Analyze Flow Diagrams
Understand the relationships between system components.
Review KPI Trends
Observe how key performance indicators change over time.
graph TD
subgraph Patient Satisfaction
A[Affordability of Treatment] --> PS(Patient Satisfaction)
B[Availability of Information] --> PS
C[Facilities and Accessibility] --> PS
D[Time Spent Waiting] --> PS
E[Time Receiving Treatment] --> PS
F[Patient Relocation Distance Impact] --> PS
G[New Patient Proximity to Hospital] --> PS
end
graph TD
subgraph Staff Satisfaction
A[Adaptation to New Environment] --> SS(Staff Satisfaction)
B[Budget Difference Percentage] --> SS
C[Commute Satisfaction] --> SS
D[Staff Relocation Distance] --> SS
E[Preferred Workload] --> SS
F[Workload] --> SS
end
graph TD
subgraph Cost
A[Budget] --> C1(Cash)
B[Drift Cost] --> C1
C[Cost of Relocation] --> C2(Cash New Location)
D[Drift Cost New Location] --> C2
C1 --> MD(Monetary Difference)
C2 --> MD
end
graph TD
subgraph Quality of Care
A[Patient Inflow] --> NP(Number of Patients)
B[Patient Outflow] --> NP
C[Service Rate] --> QOC(Quality of Care)
D[Staff Competence] --> QOC
E[Hospital Death Rate] --> QOC
F[Budget Impact] --> QOC
G[Patient Satisfaction] --> QOC
H[Staff Satisfaction] --> QOC
end
Patient Satisfaction Analysis
Review Contributing Factors
Understand the elements influencing patient satisfaction.
Analyze Satisfaction Score
See the overall satisfaction and identify areas for improvement.
Get AI Suggestions
Receive AI-driven recommendations to boost patient satisfaction.
Overall Patient Satisfaction Score: N/A
Contributing Factors
Impact Matrix
Staff Satisfaction Analysis
Input Staff-Specific Data
Provide details related to staff's commute, salary, and adaptation.
Assess Satisfaction & Risk
View the calculated staff satisfaction score and potential resignation risks.
Get AI Retention Advice
Receive AI-powered recommendations to improve staff retention.
Overall Staff Satisfaction Score: N/A
Risk of Resignation: N/A
Stressor Breakdown
Satisfaction Over Time
Cost and Budget Impact Analysis
Input Financial Data
Enter all relevant costs and budget details for the relocation.
Analyze Financial Impact
Review the budget impact, net expenditure change, and cost per patient.
Get AI Budget Recommendations
Receive AI-driven advice for budget adjustments and ROI analysis.
Budget Impact Score: N/A
Net Change in Total Expenditure: N/A
Cost Per Patient: N/A
Financial Breakdown
Budget vs. Expenditure
Quality of Care Analysis
Review Quality Inputs
Examine factors like staff competence, service rates, and budget impact.
Calculate Quality Index
Determine the composite quality index and monitor learning curves.
Get AI Quality Forecasts
Receive AI predictions on quality recovery and optimal staff mix.
Composite Quality Index: N/A
Competence Learning Curve
Quality Index Heatmap (Simplified)
Validation & Sensitivity Testing
Select Variable for Testing
Choose a parameter and define its variation range for sensitivity analysis.
Run Monte Carlo Simulation
Execute multiple simulation runs with randomized inputs to test robustness.
Analyze Results & Get AI Insights
Review sensitivity matrices, error margins, and AI-identified unstable parameters.
Sensitivity Matrix (Simplified Tornado Chart)
Sensitivity Bands on KPI Charts
AI Report & Presentation Generator
Select Report Options
Choose the scenario, audience type, and sections for your report.
Generate & Preview
Generate the report and review it before exporting.
Export Documents
Export your comprehensive report as PDF, HTML, or a simplified presentation.
Generated report content will appear here.