healthcare simulation

Real-Time Bed Allocation with Dynamic Simulation

Hosni AdraCreateASoft, Inc.

7/25/2012www.createasoft.com @Copyright 2012, CreateASoft, Inc. All Rights Reserved

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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

Simulation Applications in Healthcare


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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.

Dynamic Simulation


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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.

The need for Dynamic Simulation


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Why Bed Allocation?

OR Scheduling

EDArrivals

Patient Admittance

TransfersOutpatientScheduling

Bed Availability

Patient Experience And Hospital Efficiency


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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.

Looking in the wrong place?


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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

Other impacts


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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.

Solution must have...


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Proposed Solution

Dynamic Simulation

Live System – Constant Updates and monitoring

Bed Allocation Needs and Schedules Staff allocationCapacity

constraints and expected flow data

EMR

Historical data Other

Tracking systems


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Data Side

EMR

Data Abstraction Layer

Historical Data

Forecasting effect factors

Seasonality data

Short term Data

Tracking data

Tracking data effect factors

Staffing, speed,

efficiencyOther factorsDynamic

Simulation


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Dynamic Simulation

Models(OR,ED,…)

Bed Allocation

Rules

Current State

LoaderScheduler

ResultsData Store


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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

Dynamic Simulation Detail


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Multiple Dynamic simulation models

OR Model Bed

Allocation Rules Model

Dynamic Simulatio

n Scheduler Bed Re-Allocation

Rules Model

EDModel

Other Related Models


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Current state of bed allocation by Department Acuity Private/semi-private Other

Expected need – Short term – by Department Acuity Type Other factors

Bed Allocation Results

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.

Bed Allocation schedules

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.

Other benefits


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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.

Results delivery


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Examples


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Real-Time Bed Allocation with Dynamic Simulation

Hosni AdraCreateASoft, Inc.

Q & A


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www.createasoft.comProcess Improvement Solutions

http://www.createasoft.com/

healthcare simulation

Technology

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dynamic model updates

simulation modelssingle

fast data

real data

data points