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Health equity in PPE distribution

Our goal:  Allocate donated PPE to those most in need.

Get Us PPE’s Fair Distribution Algorithm optimizes both efficiency and equity

diagram of Get Us PPE Fair Distribution algorithm for health equity

Get Us PPE has developed the first AI matching algorithm that optimizes efficiency and equity in distributing scarce resources in a crisis.

Demand for PPE is so high that Get Us PPE can only fill 15% of requests. Therefore, a team of supply chain management experts designed this algorithm to match PPE donations with the facilities most in need, using technology similar to Uber’s rider-driver matching software.

Changing the future of crisis response with our Fair Distribution Algorithm

Our highly customizable AI matching algorithm…

  • Allows for real-time integration and optimization of multiple user-generated objectives (e.g. equity, cost, time to delivery)
  • Could be the basis for a new generation of equitable crisis resource distribution systems that prioritize communities disproportionately impacted by disasters
  • Can be used to distribute other scarce resources like vaccines, food, and water in any future crisis scenario


Leveraging Technology to Ensure Health Equity

With thousands of facilities in need of PPE and a limited supply, Get Us PPE is using health equity technology to deliver PPE to those who need it most.
hand sanitizer and face masks on table

Getting PPE Where it is Needed Most: Get Us PPE and Health Equity

How Get Us PPE is working to address COVID health inequities to send personal protective equipment where it's needed most.
Coronavirus Disparities in the Latinx Community

Coronavirus Disparities in the Latinx Community

Coronavirus disparities in the Latinx community have become a top priority as the PPE shortage deepens in small health care facilities.

The Demand Data Hub: Powering a Collaborative PPE Supply Chain

The power of strength in numbers is well documented throughout the history of grassroots organizing and coalition building. In the midst of this COVID-19 crisis, our numbers are derived not only from the tremendous volunteer networks who are working to bolster PPE supply chains and protect our healthcare workers, but from our actual data sets. To amplify our strengths, Project N95 and GetUsPPE are thrilled to announce our Demand Data Hub partnership. By merging our two leading PPE demand databases, the Demand Data Hub now contains more than 7,000 requests for PPE from American healthcare providers, and is the authoritative…
health equity infographic for resolving the PPE shortage crisis

Get Us PPE recognizes the importance of equitable allocation of scarce PPE supplies.

We conduct targeted outreach to healthcare facilities that serve underrepresented or historically disadvantaged communities. In addition, we work diligently on developing a process to facilitate prioritization of PPE supplies based on need, risk, and vulnerability.
In consultation with members of affected communities, as well as experts in public health, emergency response, and bioethics from Johns Hopkins, Stanford, and UC Berkeley, our process to facilitate equity in allocation of donated PPE considers a wide variety of factors, including, but not limited to:
  • Type of facility – hospital, nursing home, homeless shelter, etc
  • Immediacy of need – how close is the facility to running out of PPE?
  • Risk of exposure to medical staff – whether the facility has an ER or ICU, type of procedures performed
  • Local healthcare capacity – hospital beds and medical professionals per capita
  • Vulnerability – whether the facility is a safety net hospital, whether it is part of a rural/tribal/prison system

Support health equity!

Whether you are registering your need for personal protective equipment or donating to our cause, you are supporting the Get Us PPE mission to deliver personal protective equipment to those who need it most.

Get Us PPE’s Fair Distribution Algorithm was developed in consultation with health equity experts, by a dedicated team of engineers at Project Stanley led by Ram Bala, PhD, faculty member at Santa Clara University Leavey School of Business.