Case Study: UPMC achieves 99% higher response rates with Squark

UPMC Uses Augmented Intelligence to Identify Target Patients by Speciality with Squark

UPMC, a leading healthcare organization, needed a way to identify a very narrow group of potential patients for its living donor liver transplant (LDLT) program while staying compliant with HIPAA. With more than 1,500 consumer variables available, the team needed a fast, cost-effective, and repeatable way to find the right patients without spending months building a predictive model from scratch. Squark provided the augmented intelligence and no-code data science capability to help address this challenge.

Using Squark’s pre-built predictive technology, UPMC’s marketing intelligence team was able to build and run models in just one day instead of six months. The solution delivered a 99% increase in response rate, grew the number of traveling patients in the liver transplant program by 50%, and enabled the team to run hundreds of predictive projects per month. Squark helped UPMC quickly test ideas for other specialty areas as well, including pancreatic cancer and musculoskeletal programs.

UPMC

Jake Collins

Director of Marketing Intelligence