For program information contact Debbie Bucci, [email protected] or Adam Culbertson, [email protected]
For technical information contact Susan Kerin, [email protected].
Patient Matching Algorithm Challenge Winners
Best “F-score” (a measure of accuracy that factors in both precision and recall):
Best First Run ($5,000): Information Softworks
Best Recall ($5,000): PICSURE
Best Precision ($5,000): Ocuvera
Each winner employed widely different methods. PICSURE used an algorithm based on the Fellegi-Sunter (1969) method for probabilistic record matching and performed a significant amount of manual review. Vynca used a stacked model that combined the predictions of eight different models. They reported that they manually reviewed less than .001 percent of the records. Although Information Softworks also used a Fellegi-Sunter-based enterprise master patient index (EMPI) system with some additional tuning, they also reported extremely limited manual review.
For program information contact Debbie Bucci, [email protected] or Adam Culbertson, [email protected]
For technical information contact Susan Kerin, [email protected].