Some of the nation’s largest healthcare systems have joined forces with technology companies, including Amazon and Microsoft, nonprofits and academic institutions to form a coalition dedicated to mitigating the COVID-19 pandemic and saving lives.
“The COVID-19 Healthcare Coalition is a private-industry led response” to the urgent needs of the pandemic, including a rapid response with communication and coordination across the healthcare sector, according to the coalition’s new website. Adding technology forces into the coalition aims to provide insightful sources of data on the disease and the global response powered by powerful analytics.
“Applying real-time data analytics and best practice guidance to a pandemic can flatten the curve of infection and change its course, as seen with Ebola and H1N1,” said Jay Schnitzer, MD, PhD, chief technology and medical officer of coalition member MITRE. “The business and research communities have mobilized to address COVID-19 and give this data analysis to the healthcare system leaders and public health officials to make evidence-based decisions that can save lives.”
The coalition is led by Mayo Clinic, Leavitt Partners and faculty from the Massachusetts Institute of Technology, which asked nonprofit MITRE to coordinate a private sector response and serve as a party to facilitate communication, aggregate de-identified healthcare data and coordinate a response across organizations, according to the press release.
The coalition hopes to leverage its resources across members to inform decisions on healthy population, people at risk of COVID-19 and need diagnostic testing, and the staff and supply chain of healthcare systems.
The coalition partners include:
- Amazon Web Services
- Arcadia.io
- athenahealth
- Buoy Health
- CommonWell Health Alliance
- Epic
- HCA Healthcare
- Intermountain Healthcare
- LabCorp
- Leavitt Partners
- MassChallenge
- Mayo Clinic
- Microsoft
- MITRE
- nference
- oura
- Rush University System for Health
- Salesforce
- University of California Health System