Remaining Length of Stay Estimator

This feature is no longer part of ProcessModel

Model objects are no longer part of ProcessModel. They were prebuilt sample models in the legacy software that you opened and copied the pieces you needed from into your own model. The technique shown here is now built into ProcessModel.

LegacyHow this worked in the previous version

When you need to estimate the length of stay remaining, for entities that are preloaded.

Where to Find the Model Object

The following model object can be found in the model objects directory:

• Time - Remaining Length of Stay Estimator

Difficulty Level

• Ease of Use: Moderate
• Ease of Modification: Moderate

How to Use the Model Object

• Open your model: Open your model or create a new blank model.

• Insert the Model Object into Your Model: Locate the model object Remaining Length of Stay Estimator and select the insert button.

• Move the cursor to the point of insertion and left mouse-click. The upper left corner of the model object will be inserted at the location of the mouse-click.

• Update objects

• **Copy **the logic from the action logic of the Ward 1.

• **Use **this logic to **replace **the term **a_Next_Time **in the action logic of the “ward” in your model.

• For each “ward” a new variable needs to be added, v_LocTime2, v_LocTime3, etc.

• **Replace **the v_LocTime1, in the ward, with the newly created variable.

Note: At the start of the model: 1. How many entities will be in a “ward” are of the hospital? 2. How much remaining LOS with a patient have. Both of the items above are needed to accurately predict the behavior of the system.

• Review model:

**Run **the model for an extended period. Several years so that a sufficient sample is collected.

• From the output report, **export **the variable data for v_LocTime# to Excel, and then open the Excel file from the location it was saved in.

• **Remove **the first 2 months of data (Use the appropriate time for your the ward).

• **Analyze **the Excel export to **determine **the “census” and “remaining LOS”

• Use Stat::Fit to create a **distribution **for be beginning census and remaining LOS.

**Copy **the “values” left in the Excel file.

• Goto ProcessModel, open Stat::Fit (Tools Stat::Fit) and **paste **the copied data.

• Click Autofit and then click **OK **on the new window.

• Click Export and then click **OK **to export the distribution to Windows clipboard.

• **Create **a one time arrival (Periodic) into each ward using the **distribution **defining the beginning census as the “Quantity per Arrival.”

• **Set **the **attribute **a_Next_Time = the distribution “Remaining LOS” (In the action logic of the arrival).

• **Remove **pasted Estimator Model Object from your model.

Note: This model object will not be part of your final model. It is designed to be inserted into a model temporarily to help discover the remaining length of stay and then be removed. The data collected from this MO will help to identify the distribution used as a remaining LOS for entities pre loaded to start the simulation.

• Completion: The model object is now integrated into your model, you should now be able to save and then simulate the model.

Controls Usage

Attributes:

• a_Next_Time: Do not change. Is the attribute used to store time values for the for entities. Initial value must be provided when entities are preloaded.
• a_HoursRW: Do not change. Is used to store the hours remaining in the week. Nothing needs to be changed for the attribute.

Variables:

• v_LocTime1: Do not change. Is used to store the remaining time value for the entities each weekend. A new variable will need to be defined for each “Ward” for which remaining LOS will be collected.

• v_HoursRW: Do not change. Is used to calculate the hours remaining in the week. Nothing needs to be changed for the variable.