Simulation modeling of pre/post bed needs for an Interventional Platform

SIMULATION MODELING OF PRE AND POST
PROCEDURE BEDS FOR THE INTERVENTIONAL
PLATFORM
SSM SAINT LOUIS UNIVERSITY HOSPITAL
Frank Zilm,D.Arch, FAIA, FACHA
Chester Dean Director of the Institute for Health and Wellness Design
The University of Kansas

Presentation Agenda
• Overview of Interventional Platform
• Visioning future process
• Development of model
• Output/evaluation
• Questions

SSM St. Louis University Hospital
Renewal Project

Traditional Model
Patient
Waiting/
Prep
Inpatient
Hold
O.R.’s
Patient
Waiting/Prep/
Recovery
Endoscopy
Staff
Work areas/
Support
Staff
Support
O.R.’s O.R.’s
O.R.’s O.R.’s O.R.’s
O.R.’s
O.R.’s
Recovery/
Phase II
Central
Sterile
Admin/
Lockers
Surgery Suite
Intervent.
Imaging
Staff
Support
Patient
Wait./Prep/
Rec.
Cath/EP
Staff
Support
Patient
Wait./Prep/
Rec.

Interventional Suite
Patient/Family
Waiting
Inpatient
Hold
Intervent.
Room
Endoscopy
Staff
Work areas/
Support
Cath/EP
O.R.’s O.R.’s O.R.’s
O.R.’s
O.R.’s
Recovery/
Prep
Phase II/Phase III
Admin/
Lockers
Surgery Suite
O.R.’s
O.R.’s
Future Growth
Central
Sterile
Intervent.
Room
O.R.’s
O.R.’s

Second Floor Composite Plan
University Medical Center at Princeton

Interventional Platform Concept

Purpose of Modeling
• Identify proposed patient flows for services using the
Interventional Platform (IP)
• Estimate bed requirements based on simulation models
of proposed demand and flow. Components include:
• PACU
• Prep/Phase II
• Phase III (recliner area)
• Short stay (<23 hour observation)
• Test the sensitivity of the model results to key
operational assumptions
• Recommend adjustments, if needed, to the IP space
program

George Box, Professor Emeritus, University of
Wisconsin
“Essentially all models are wrong, but
some are useful”

Process
• Meetings with staff from affected services to explain
project goals and data needs.
• Development of anticipated flow steps for major patient
types.
• Established prototype schedule for patients.
• Modeling of proposed system.
• Testing of sensitivity of model results.
• Review with staff.
• Recommendations of adjustments to space program.

Examples of patient flows
• 18 types of patient procedures were identified for surgery,
cardiology, interventional radiology and endoscopy.
Example of patient flow diagrams

Prototype schedules
• Prototype schedules were developed for each patient
group

Model Development
• Arrivals and patient flow for each group were translated
into a Simul8 model.

Model Development
• As a patient moves through the Interventional Platform
requests are made for the type of beds needed.

Model Development
• Variability was built into most steps in patient process.
Normal or uniform distributions were typical distributions

Model Development
• Total demand by all patients for each type of bed was
recorded.

Initial Results
Prep/Phase II PACU Phase III Short Stay
Current
Program 56 20 16 10
Model Max
Estimate 40 11 14 16

Key Model Issues/Questions
• Model assumes no holding in IP for inpatient bed
availability
• Prep/Phase II assumes complete sharing of beds, no
holding of beds by a service line
• Current model assumes most inpatients are held in prep
area prior to procedure rather than PACU
• Mix of surgery patients has six rooms used by long case
time procedures, reducing peak demand on PACU beds
• Only 30% of short duration surgery patients are routed to
PACU
• Turn around times for bed space are assumed in patient
LOS
• Does this reflect worst case demand?

70% of Surgery Short Cases to PACU
Current
Program 56 20 16 10
Model Max

70% of Surgery Short & All Long
Cases to PACU
Current
Program 56 20 16 10
Model Max

Add 5 minutes for clean up/turn
Current
Program 56 20 16 10
Model Max

Recommendations
• Shift 6 beds from Prep/Phase II beds to short stay, shell 6
Prep beds. (44 initial Prep/Phase II rooms, 16 Short Stay)
• Shell 4 beds in PACU for future growth or adjustments for
final operational strategies. (16 initial PACU beds, 4 shell)
• Reduce Phase III to 14 stations

SIMUL8 in Health
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Recording available on
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Simulation modeling of pre/post bed needs for an Interventional Platform

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