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Real-Time Hospital Bed Allocation with Dynamic Simulation

Real-Time Hospital Bed Allocation with
Dynamic Simulation



Hosni Adra
CreateASoft, Inc.
www.createasoft.com
Process Improvement Solutions
1

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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Why Bed Allocation?

Why bed allocation?

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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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Proposed Solution

Proposed Solution

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Dynamic Simulation

Dynamic Simulation

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Multiple Dynamic Simulation Models

Multiple Dynamic Simulation Models

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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
    • Better model validation
    • Effect of late discharge due to physician delays
    • Schedule Adherence (Optimal vs current)
    • Cause analysis of the delays
15

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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Examples

Examples - Healthcare

19

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
2

The need for Dynamic Simulation

  • Reduced time for model building
  • Enable simulation for everyone within the organization
  • Improve model accuracy
  • Improved analysis capability
  • Provide “life to the model” beyond the initial simulation effort
4

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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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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Data Side

Data Side

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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
12

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
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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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Examples

Examples - Healthcare

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Examples

Examples - Healthcare

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