The U.S. Department of Health and Human Services’ Office of the National Coordinator for Health Information Technology (ONC) today announced the winners of the Patient Matching Algorithm Challenge.
ONC selected the winning submissions from over 140 competing teams and almost 7,000 submissions using an ONC-provided dataset. “Patient matching” in health IT describes the techniques used to identify and match the data about patients held by one healthcare provider with the data about the same patients held either within the same system or by another system (or many other systems). The inability to successfully match patients to any and all of their data records can impeded interoperability resulting in patient safety risks and decreased provider efficiency.
“Many experts across the healthcare system have long identified the ability to match patients efficiently, accurately, and to scale as a critical interoperability need for the nation’s growing health IT infrastructure. This challenge was an important step towards better understanding the current landscape,” said Don Rucker, M.D., national coordinator for health information technology.
Best “F-score” (a measure of accuracy that factors in both precision and recall):
- First Place ($25,000): Vynca
- Second Place ($20,000): PICSURE
- Third Place ($15,000): Information Softworks