1. Real-Time Bed Allocation with Dynamic Simulation
Hosni Adra
CreateASoft, Inc.
@Copyright 2012, CreateASoft, Inc. All Rights Reserved
11/22/2018

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
@Copyright 2012, CreateASoft, Inc. All Rights Reserved
11/22/2018

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.
@Copyright 2012, CreateASoft, Inc. All Rights Reserved
11/22/2018

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.
@Copyright 2012, CreateASoft, Inc. All Rights Reserved
11/22/2018

5. Patient Experience And Hospital Efficiency
Why Bed Allocation?
OR Scheduling ED
Arrivals
Patient
Admittance
Transfers
Outpatient
Scheduling
Bed Availability
Patient Experience And Hospital Efficiency
@Copyright 2012, CreateASoft, Inc. All Rights Reserved
11/22/2018

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.
@Copyright 2012, CreateASoft, Inc. All Rights Reserved
11/22/2018

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
@Copyright 2012, CreateASoft, Inc. All Rights Reserved
11/22/2018

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.
@Copyright 2012, CreateASoft, Inc. All Rights Reserved
11/22/2018

9. Proposed Solution Historical data EMR Other Tracking systems
Dynamic Simulation
Live System – Constant Updates and monitoring
Bed Allocation Needs and Schedules
Staff allocation
Capacity constraints and expected flow data
@Copyright 2012, CreateASoft, Inc. All Rights Reserved
11/22/2018

10. Data Side Seasonality data Short term Data EMR Historical Data
Forecasting effect factors
Seasonality data
Short term
Data
EMR
Data Abstraction Layer
Tracking
data
Tracking data effect factors
Staffing, speed, efficiency
Other factors
Dynamic Simulation
@Copyright 2012, CreateASoft, Inc. All Rights Reserved
11/22/2018

11. Dynamic Simulation Models (OR,ED,…) Bed Allocation Rules Scheduler
Current State Loader
Results
Data Store
@Copyright 2012, CreateASoft, Inc. All Rights Reserved
11/22/2018

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
@Copyright 2012, CreateASoft, Inc. All Rights Reserved
11/22/2018

13. Multiple Dynamic simulation models
OR Model
Bed Allocation Rules Model
Dynamic Simulation Scheduler
Other Related Models
Bed Re-Allocation Rules Model
@Copyright 2012, CreateASoft, Inc. All Rights Reserved
11/22/2018

14. Bed Allocation Results
Current state of bed allocation by
Department
Acuity
Private/semi-private
Other
Expected need – Short term – by
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 ED efficiency improvement
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.
@Copyright 2012, CreateASoft, Inc. All Rights Reserved
11/22/2018

17. Results delivery Accessibility Visual 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.
@Copyright 2012, CreateASoft, Inc. All Rights Reserved
11/22/2018

18. Examples
@Copyright 2012, CreateASoft, Inc. All Rights Reserved
11/22/2018

19. www. createasoft. com @Copyright 2012, CreateASoft, Inc
@Copyright 2012, CreateASoft, Inc. All Rights Reserved
11/22/2018

20. www. createasoft. com @Copyright 2012, CreateASoft, Inc
@Copyright 2012, CreateASoft, Inc. All Rights Reserved
11/22/2018

21. Real-Time Bed Allocation with Dynamic Simulation
Hosni Adra
CreateASoft, Inc.
Q & A
Process Improvement Solutions
@Copyright 2012, CreateASoft, Inc. All Rights Reserved
11/22/2018