Document Type

Article

Publication Date

2021

DOI

10.1109/MCSE.2020.3036586

Publication Title

Computing in Science & Engineering

Volume

23

Issue

1

Pages

17-24

Abstract

In the early months of 2020, the SARS-CoV-2 Coronavirus took the world by surprise, resulting in the COVID-19 pandemic that has caused significant loss of lives and challenged the sustainability of our health care systems. In mid-March, it became obvious that government and communities had to react immediately. Under the lead of the Mayo Clinic and The MITRE Corporation, the COVID-19 Healthcare Coalition (C19HCC) was established as a coordinated public-interest, private-sector response. The coalition brought healthcare organizations, technology firms, nonprofits, academia, and startups to support supply chains, inform coordinated social policies, and provide data-driven insights to protect people and preserve the healthcare delivery system. The coalition quickly reached more than 1000 member organizations, many of them working in computational fields. Although the efforts focused on the United States, we had several international partners who not only observed, but also contributed to the efforts.

Rights

© 2020. This article is free to access and download, along with rights for full text and data mining, re-use and analysis.

Original Publication Citation

Tolk, A., Glazner, C., & Ungerleider, J. (2020). Computational decision support for the covid-19 healthcare coalition. Computing in Science & Engineering, 23(1), 17-24. https://doi.org/10.1109/MCSE.2020.3036586

ORCID

0000-0002-4201-8757 (Tolk)

Download

Share

COinS