COVID-19 has created unprecedented strain on hospital capacity and resources. For some of you, you’re already over capacity; for the rest, you know capacity challenges are coming. We are in uncharted territory, all trying to do what we can to help. In our attempt to help healthcare systems weather the storm, we created the Capacity Planning Tool to address capacity needs throughout your healthcare system—for COVID-19 and all your other patients. We started with the Penn Med Epidemic Model and added capacity planning, starting with the scarcest resources—beds and ventilators—and then we’ll focus on the dramatic increase in the need for PPE, other respiratory equipment, and staffing. We have already made the Capacity Planning Tool available to everyone (the tool can be found here: https://www.healthcatalyst.com/covid1...). In this session, our experts explain the tool and how it’s best leveraged. In this demo the topics we cover include: - What the Capacity Planning Tool is - How the tool will evolve - How you can use the tool - How to get additional help if needed - Live Q&A session with our experts

1. Capacity Planning Tool
Demonstration and Q&A Session
April 8, 2020
Jason Jones & John Hansmann
Confidential and Proprietary - March 24, 2020 version

2. Agenda
1. Introductions
• Jason Jones, John Hansmann
2. Background on Health Catalyst
Capacity Planning Tool
3. Demonstration of Health Catalyst
Capacity Planning Tool
4. Q&A Session
Learning Objectives
1. How to use the Health Catalyst
Capacity Planning Tool
a. Understand the parameters
b. Interpret the graphs
2. Uses for the Capacity Planning Tool

3. © 2020
Health
Catalyst
Background: Why Build the Capacity Planning Tool
• Address capacity planning and how
the COVID-19 pandemic crisis
may affect your individual hospital or
hospitals in a system
• Health Catalyst Mission
• Characteristics of the Capacity
Planning Tool
o Easy to use
o Flexible
o “What if” analyses
o Built upon respected model - Penn Med
demand model
o Save scenarios
o Common sense
o Reality vs time to market

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Health
Catalyst
Background: Uses for the Capacity Planning Tool
• Provide a planning tool that looks
forward 30-60 days to estimate the
number of resources (e.g., beds, vents,
etc.) required to take care of your
patients
• Provide time to identify available bed
options
o Other options in house – PACU, SDS, ORs,
clinic space
o Community response – mobile hospitals,
convention centers, hotels, dorm rooms, etc.
• Users for Capacity Planning tools
o COVID-19 Task Forces
o Hospital Incident Command Centers
o Planners
o COO / CNO / CMO / Operations Officers /
Quality / Risk / Facilities

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Health
Catalyst
Demonstration Health Catalyst Capacity Planner
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https://www.healthcatalyst.com/
https://www.healthcatalyst.com/covid19-capplan/

6. Q & A
Capacity Planning Tool

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Health
Catalyst
Thank You for Participating
Development Team
Evan Sanders
Haider Syed
Jason Jones
John Hansmann
Josh Ferguson
Larry Lofgreen
Max Taggart
Mike Mastanduno
For more information, please
contact us at:
covidcapacity@healthcatalyst.com
Capacity Planning Tool:
https://www.healthcatalyst.com/covid
19-capplan/
Website:
https://www.healthcatalyst.com/
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Catalyst
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Appendix
Training Example

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Health
Catalyst
• Left Panel (input): Settings,
load/save scenarios, load actuals
• Right Panel (output): Results,
including text, graphs, and
download
• Currently showing defaults
• Version number and date in the top
left (with link to features)
Site Loaded With Defaults
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Catalyst
• Still showing defaults…
• Scroll down on right panel to see
chart of new hospital admissions,
hospital census, etc.
• Text indicates admission peaks and
other relevant information
immediately below charts.
Site Loaded With Defaults
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Catalyst
• Left Panel (input): Scroll to “Spread
and Contact Parameters” and
change “Doubling Time” from 4 to 6
days.
• Right Panel (output): Charts and
text change.
• Note y-axis has adjusted to lower
values (e.g., 400 to 200)
• Note text has reflected lower peaks
(e.g., peak admissions dropped
from 388 on Jun 9 to 193 on Jul 13)
Changing One Parameter
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Catalyst
Scenario:
• Place to load scenarios—used to rapidly load and modify previously saved scenarios
• Author name for scenario—used to label the scenario file
• Scenario name—used to label the scenario file
Hospital Parameters:
• Regional Population—entire relevant catchment area population
• Hospital Market Share—used to determine how many patients hospital will receive
• Current COVID-19 Total Hospital Census—used to estimate the infection & demand curves and checked again any uploaded data
• Current Date—used to estimate infection & demand curves and place vertical line in charts
COVID-19 Hospital Capacity:
• Total # of Best for COVID-19 Patients—used to compare demand and capacity
• Total # ICU Beds for COVID-19 Patients—used to compare demand and capacity
• Total # of Ventilators for COVID-19 Patients—used to compare demand and capacity
Spread and Contact Parameters:
• I know the date of the first hospitalized case—used to show or hide estimated doubling time or date of first hospitalization. If the first
hospitalization is known, the application will try to estimate the doubling time
• Doubling time in days—used to estimate the infection & demand curves
• Date of first hospitalized case—if known, used to estimate the doubling time
• Social distancing (% reduction)—applied to infection & demand curves only from “today” forward
Current Parameters
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Severity Parameters:
• Hospitalization %(total infections)—Percent of all infected patients who will be admitted to the hospital
• ICU %(total infections)—Percent of all infected patients who will be admitted to ICU (note: this is added to patients hospitalized)
• Ventilators %(total infections)—Percent infected patients who will need mechanical ventilators (note: not added to patients
hospitalized)
• Infectious Days—changes infection & demand curves (longer infection spreads infection to more people)
• Average Hospital Length of Stay (days)—Length of stay for a non-ICU hospital stay
• Average Days in ICU—Length of stay for an ICU patient (note: assumes entire LoS is in the ICU)
• Average Days on Ventilator—Number of days a ventilator is in use
Display Parameters:
• Number of days to project—changes the number of days to project forward (changes the x-axis in charts)
• Hospital Market Share—used to determine how many patients hospital will receive
• Set the Y-axis to a static value—can be used to easily visualize how parameter changes impact all charts
• Save Scenario—press to download a scenario file to a local or network drive. This file can then be dropped on the “Load Scenario”
section near the top of the left panel to recreate the scenario.
Actuals:
• Load Actuals—used to compare model results with actuals. Create the file, per instructions, and drop here to load in the application
Current Parameters
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Catalyst
• Back to defaults…
• Scroll down on right panel to see
Capacity chart for total hospital
beds, ICU beds, and ventilators for
COVID-19 patients.
• Text indicates when resources will
be exhausted
• Note: This scenario calculates the
doubling rate based upon entering
the current COVID-19 patients and
the date the first patient was
admitted.
Loading a Scenario and
Looking at Capacity
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Catalyst
• Dragged and dropped a
“Pessimistic” scenario
• Capacity chart for total hospital
beds, ICU beds, and ventilators for
COVID-19 patients has changed
(e.g., peak deficit in total beds went
from ~2,500 to ~500)
• Text for when resources will be
exhausted has changed (e.g.,
running out of total hospital beds
went from May 9 to Apr 18)
Loading a Scenario and
Looking at Capacity
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Catalyst
• Using “Pessimistic” Scenario…
• Admissions per the scenario
• No actuals have been loaded so far
Loading Actuals and
Looking at Admissions
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Catalyst
• Using “Pessimistic” Scenario…
• Admissions per model/scenario are
represented as lines and filled
circles now show actuals
• Dropped a ActualDataExample.csv
file (per instructions)
Loading Actuals and
Looking at Admissions
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Health
Catalyst
• Using “Pessimistic” Scenario…
• Admissions per model/scenario are
represented as lines and filled
circles now show actuals
• Changed number of days to project
from 100 to 30 to zoom in and see
differences
• Dropped a ActualDataExample.csv
file (per instructions)
Loading Actuals and
Looking at Admissions
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Catalyst
• Using “Pessimistic” Scenario…
• Entered more recent values for
COVID-19 hospitalized patients and
the date
• Doubling rate is re-estimated,
admissions (and all other
demand/capacity) curves are
updated
• Can save the updated scenario for
future use
Loading Actuals and
Looking at Admissions
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