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Effective Emergency Department Simulation

STEP 1 - DATA GATHERING
Gather the data set needed for the simulation

ED Layout

ED Layout

Patient Treatment Flow

Retrieve patient data, acuities and relevant treatment details from EMR. In the case where EMR Data is not available, Data flow collection is performed and imported into the model.

Provider Schedules

Define provider schedules and availability. Need to include shift duration and breaks.

External Department Availability

Identify the percent availability of external departments allocated to the ED. In the case where the data is not available, the model assumes maximum capacity available, allowing the simulation to generate the required levels for maximum ED Efficiency.

Patient Arrival Detail

Patient Arrival Detail

STEP 2 - INITIAL MODEL SKELETON
Basic model definition

ED Predictive Modeling

ED Model Skeleton

ED Basic Identifies

  • Identify patient flow, travel constraints, hallways, and basic constraints.
  • Manage patient input properties based on the defined input data

STEP 3 - CAPACITY ANALYSIS
Connecting the data and simulate for Capacity Analysis

ED Layout

Tag the CAD layout to auto-generate distances of travel for patient, providers and transport.

Patient Arrival History

Load the data arrival history data set and connect it to the model. Data can be retrieved dynamically from Excel, Databases, or EMR systems.

Treatment Cycle

Define the treatment cycle time per acuity and patient type. Waiting times Must not be imported into the model, but generated and optimized by Simcad Pro® Health.

Wait times and delays need to be reduced and eliminated. This data is used for validation purposes only and MUST NOT be used as model inputs. The constraints are based on availability and capacity and NOT on time parameters to be optimized.

ED Model Skeleton

Providers’ Schedules and Availability

Shifts, cost, availability and other provider based constraints.

Capacity Planning

The model is now built with a validated flow and accurate behavior based on patient arrival data and length of stay validation. Current state capacity, constraints and bottleneck analyses allow for efficient capacity projections and planning.

STEP 4 - EXPAND TREATMENT FLOWS
Expand treatment flows & allocate providers

Expand Treatment Flow

Generate distributions to analyze future state fluctuations.
** Distributions don’t have to fit a predefined known curve.

  • Arrival distributions (Based on Method).
  • Treatment time distribution based on Acuity and Gender
  • Triage Time distributions

Patients

  • Patients with different acuities require different treatment flows, and interact at varying intervals with the providers
  • Patients can change acuity during treatment. Acuity may increase or decrease based on assessment

Providers

  • Define different schedules, shifts and specialties
  • Enable provider travel based on distances for increase simulation accuracy
  • Define provider teams as needed based on acuity and patient properties

STEP 5 - PROVIDER ANALYSIS
Validation, Efficiency and Utilization

With the model validated, provider analysis (efficiency and utilization), along with external department impact are used to analyze the ED. By analyzing the internals of the ED along with all external factors, Length of Stay reduction and capacity increase can be achieved and sustained beyond the initial improvement effort.

Provider Analysis

STEP 6 - EXPANDING THE MODEL - NEXT STEPS

Based on improvement requirements, additional model details may be added...

  • Expand Treatment flows to incorporate external department interaction (X-Ray, MRI. Labs ... )
  • Expand the supporting departments, and exploring a more detailed impact on the model
Expanding Model 3D

Auto Generated Lean Analysis based on model constraints including
Value Stream Maps, Spaghetti Diagrams, Sequence Diagrams and Swim Lanes.

Dynamic Value Stream Map

Dynamic Value Stream Map Generated from Model Constraints

Auto Generated Spaghetti Diagram

Auto Generated Spaghetti Diagram

Real-Time ED Optimization
with Predictive Analytics
ED Optimization
Real-Time Schedule Optimization
in the Operating Room
OR Schedule Optimization

Simcad Pro Health

A Patented No-Coding Simulation
Modeling Environment Delivers
Unmatched Ease of Use.


Achieve an average of 50% Reduction in model turn-around time with On-The-Fly Interactive Dynamic Simulation.

SimTrack Health

Make Your Data Work to You -
Turn Existing Data to an
Actionable Predictive System.


Live Data generated from the Predictive model provides the Current and Future state of the operation.

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