COVID-19 Capacity Planning Tool Live Demo and Q&A
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The document describes a demonstration and Q&A session for the Health Catalyst Capacity Planning Tool aimed at aiding hospitals in resource estimation during the COVID-19 pandemic. It outlines the tool's features, intended users, and illustrates its functionality for forecasting hospital resource needs over a 30-60 day period. Key topics include understanding input parameters, interpreting output graphs, and adapting scenarios based on changing data or predictions.
COVID-19 Capacity Planning Tool Live Demo and Q&A
- 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
- 4. © 2020 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
- 5. © 2020 Health Catalyst Demonstration Health Catalyst Capacity Planner 5 https://www.healthcatalyst.com/ https://www.healthcatalyst.com/covid19-capplan/
- 6. Q & A Capacity Planning Tool
- 7. © 2020 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/ 7
- 9. © 2020 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 9
- 10. © 2020 Health 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 10
- 11. © 2020 Health 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 11
- 12. © 2020 Health 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 12
- 13. © 2020 Health Catalyst 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 13
- 14. © 2020 Health 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 14
- 15. © 2020 Health 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 15
- 16. © 2020 Health Catalyst • Using “Pessimistic” Scenario… • Admissions per the scenario • No actuals have been loaded so far Loading Actuals and Looking at Admissions 16
- 17. © 2020 Health 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 17
- 18. © 2020 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 18
- 19. © 2020 Health 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 19