Algorithmic matching of personal protective equipment donations with healthcare facilities during the COVID-19 pandemic

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作者
Ram Bala
Charlotte Lee
Benjamin Pallant
Maahika Srinivasan
Daniel Lurie
Rohit Jacob
Neeraj Bhagchandani
Megan Ranney
Shuhan He
机构
[1] Santa Clara University,Department of Information Systems and Analytics
[2] Brown University,Warren Alpert Medical School
[3] Harvard Medical School,Department of Psychology
[4] University of California,Brown
[5] Alpert Medical School,Lifespan Center for Digital Health
[6] Brown University,Center for Innovation in Digital HealthCare, Lab of Computer Science, Department of Emergency Medicine, Massachusetts General Hospital
[7] Harvard University,undefined
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摘要
GetUsPPE.org has built a centralized platform to facilitate matches for PPE donations, with an active role in matching donors with the appropriate recipients. A manual match process was limited by volunteer hours, thus we developed an open-access matching algorithm using a linear programming-based transportation model. From April 14, 2020 to April 27, 2020, the algorithm was used to match 83,136 items of PPE to 135 healthcare facilities in need across the United States with a median of 214.3 miles traveled, 100% of available donations matched, met the full quantity of requested PPE for 67% of recipients matched, and with 46% matches under 30 miles traveled. Compared with the period April 1, 2020 to April 13, 2020, when PPE matching was manual, the algorithm resulted in a 280% increase in matches/day. This publicly available automated algorithm could be deployed in future situations when the healthcare supply chain is insufficient.
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