As public health data scientists at Johns Hopkins University, Jeff Leek and John Muschelli understood how data could be used as a tool to drive positive outcomes across healthcare. And having developed online courses to introduce people to data science and train them on how to use it, Jeff and John were allowing more and more people, and the organizations they worked for, to incorporate data science into their operations. 

One of the people that deepened her data science skills through this course was Alexandria Fischer, a senior data analyst at St. Thomas Community Health Center in New Orleans. St. Thomas, led by an innovative leader, Dr. Erwin, had for years been incorporating new strategies and technology to drive outcomes for its organization and patients. At the time Alexandria participated in the online data course, St. Thomas, which had a relatively high no show rate, was trying to use no show predictions to inform where in their providers’ schedules they could overbook additional patients without causing scheduling conflicts. And after building out the solution internally, Alexandria realized they needed help in creating an automated process that could surface this information daily.

Enter, Streamline. Dr. Erwin and Alexandria reached out to Streamline, and through a collaborative partnership, Streamline developed an automated solution to power St. Thomas's data-driven, provider-first overbooking solution. (Read the full case study here.) 

Today, Streamline is the only data-driven, provider-first overbooking solution on the market. Overbooking has historically been a contentious topic given the negative impacts it can have if poorly designed. But if developed with providers and patients in mind, overbooking can be an incredibly powerful tool to increase the delivery of care in communities. That's what Streamline aims to do.