Northwell Health makes source code available for health systems to create localized COVID-19 surveillance dashboard
Northwell Health today announced that it has developed a first-of-its-kind predictive tool that can anticipate a spike in coronavirus disease 2019 (COVID-19) cases at its hospitals by mining user data patterns from its Northwell.edu website. With the pandemic still raging worldwide, Northwell plans to give away the source code to other health systems.
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Northwell Health frontline staff will have advance warning of the next COVID-19 surge thanks to its new predictive dashboard. (Credit: Northwell Health)
The two-week advance warning system was created this summer by the customer insights group in collaboration with information technology and clinical teams in the wake of the COVID-19 surge that struck New York State’s largest health system last spring. Northwell Health treated nearly 85,000 COVID-19 patients, including 16,000 hospitalized patients between March and Labor Day – more than any health system in the United States.
Northwell’s new digital dashboard collects 15 different indicators from the Northwell.edu website and feeds them into a machine learning algorithm to recognize patterns in website traffic, which includes everything from emergency department wait time searches to physician page clicks. The result is a rolling two-week forecast that has closely mirrored caseload to date and is expected to help clinical teams prepare for future surges.
“You’re feeling sick, start doing the research online, but you aren’t so ill that you need to see a doctor immediately,” said Ramon Soto, senior vice president and chief marketing and communications officer for Northwell Health. “We found a very strong relationship with website activity to in-facility COVID-19 patients two weeks later. This is an important development in the fight against COVID-19 and Northwell wants to share this game-changing tool