Cover: RAND Critical Care Surge Response Tool
Read Online

RAND Critical Care Surge Response Tool

An Excel-Based Model for Helping Hospitals Respond to the COVID-19 Crisis

by Mahshid Abir, Christopher Nelson, Edward W. Chan, Hamad Al-Ibrahim, Christina Cutter, Karishma V. Patel, Andy Bogart

View Online

Access the Interactive Tool

Download Free Electronic Document

FormatFile SizeNotes
PDF file 0.2 MB

Use Adobe Acrobat Reader version 10 or higher for the best experience.

Download Support Files

Excel-Based Critical Care Surge Response Tool

FormatFile SizeNotes
zip file 0.1 MB

The file(s) provided above are ZIP-formatted archives, which most modern systems can natively unpack. If your computer does not unpack the archive when you double-click it, you may need to use a separate decompression program such as UnZip.

The COVID-19 pandemic is placing extraordinary strains on the U.S. medical system, most especially hospitals. Hospitals are searching for ways to ramp up their surge capacity to provide critical care for the sickest COVID-19 patients. A team of RAND researchers undertook a quick-turn study to examine a range of strategies for creating critical care surge capacity in the nation's hospitals. As a part of the project, they developed this user-friendly, interactive tool that allows decisionmakers at all levels — hospitals, health care systems, states, regions — to estimate current critical care capacity and rapidly explore strategies for increasing it. In addition to the web-based tool, an Excel-based version is available for download.

Access the Interactive Tool

Research conducted by

Funding for this independent research was provided by gifts from RAND supporters and income from operations. This research was conducted by RAND Health Care.

This report is part of the RAND Corporation Tool series. RAND tools may include models, databases, calculators, computer code, GIS mapping tools, practitioner guidelines, web applications, and various toolkits. All RAND tools undergo rigorous peer review to ensure both high data standards and appropriate methodology in keeping with RAND's commitment to quality and objectivity.

This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.

The RAND Corporation is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.