Healthcare Simulation: Bed Allocation in Hospital: Simcad Pro is a sophisticated simulation engine that can be utilized to improve the overall efficiency of the Emergency Room. The use of Simcad Pro has been shown to improve Emergency Room efficiency, accuracy and effectiveness, which in turn improves patient outcomes and the quality of care that is received. In addition, staff allocation and efficiency can be better forecasted and analyzed, reducing the overall cost of care without sacrificing the quality of care.

1. Real-Time Bed Allocation with
Dynamic Simulation
Hosni Adra
CreateASoft, Inc.
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2. Simulation Applications in Healthcare
Patient Flow and Wait Time analysis
Provider analysis
OR Simulation and methods to improve OR efficiency
ED Simulation
Basic bed allocation implementation
Clinics/Outpatient scheduling analysis
And many more
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3. Dynamic Simulation
Dynamic simulation environment differs from standard
environments…
Highly interactive with fast model building capabilities.
On-the-fly changes– Modify, Analyze, Optimize the model on
the fly without the need to stop and restart the simulation
Connectivity to external data systems during the simulation
run
Initial state loading based on current environment state.
Dynamic model updates based on current constraints and
flows.
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4. The need for Dynamic Simulation
Reduced time for model building
Enable simulation for everyone within the organization
Improve model accuracy
Better optimization methods
Improved analysis capability
Provide “life to the model” beyond the initial simulation
effort.
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5. Why Bed Allocation?
OR ED Patient
Scheduling Arrivals Admittance
Outpatient
Transfers
Scheduling
Bed Availability
Patient Experience And Hospital Efficiency
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6. Looking in the wrong place?
Is the ED the real problem? Are patients waiting due to bed
availability?
OR efficiency impact, patients waiting too long in PACU?
Forecasting with Real Data ?
2 examples often missed in the analysis process.
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7. Other impacts
Revenue reduction.
Increase in length of stay.
Reduction in patient satisfaction.
Efficiency reduction and increased utilization.
Improper use of resources.
Impact on staff and providers.
And many more
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8. Solution must have...
Valid model representing the current state of the
operation.
Data – actual patient information data
(HIPPA Compliant)
Historical performance and data points.
Staffing/provider constraint impact
Ability to accurately forecast.
Live model that can react to changes with minimum
interaction.
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9. Proposed Solution
Historical
EMR data Other Tracking
systems
Dynamic Simulation
Live System – Constant Updates and monitoring
Bed Allocation Needs
Capacity constraints and Schedules Staff allocation
and expected flow data
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10. Data Side
Seasonality Short term
EMR Historical data Data
Data
Data Abstraction
Layer Forecasting effect factors
Staffing, spee
Tracking d, efficiency Other factors
Dynamic data
Simulation
Tracking data effect factors
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11. Dynamic Simulation
Models Bed Allocation
(OR,ED,…) Rules
Current State
Scheduler
Loader
Results
Data
Store
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12. Dynamic Simulation Detail
2 Methods to implement the simulation models
Single model for Overall Hospital view.
Multiple models connected through dynamic interface.
Multiple models method provides
Better model validation
Faster delivery (multiple modelers)
Ramped up implementation
Distributed computing
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13. Multiple Dynamic simulation models
ED
Model
OR
Model
Bed Allocation
Rules Model
Dynamic
Simulation
Scheduler
Other Related Bed Re-Allocation Rules
Models Model
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14. Bed Allocation Results
Current state of bed allocation by
Department
Acuity
Private/semi-private
Other
Expected need – Short term – by
Department
Acuity
Type
Other factors

15. Bed Allocation schedules
Cleaning schedule with priorities
When should each bed be cleaned, grouped by
department
Cleaning priority for each.
Discharge time impact on the schedule
Effect of late discharge due to physician delays
Schedule Adherence (Optimal vs current).
Cause analysis of the delays.

16. Other benefits
Better utilization of the OR
Increased capacity
Increased efficiency
Reduced “Waiting for OR” time
Improved staff efficiency
ED efficiency improvement
Better predictability of the short term future state
improves staff and room scheduling.
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17. Results delivery
Accessibility
On demand data availability
Web based – for intranet and tablet/smart phone
compatibility
Protected – availability based on need.
Visual
Animated view for improved communication
Quick hover effect for fast data access.
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18. Examples
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21. Real-Time Bed Allocation with
Dynamic Simulation
Hosni Adra
CreateASoft, Inc.
Q&A
www.createasoft.com
Process Improvement Solutions
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