1. A method for mediating anomaly notifications in health data, comprising: performing on a computer: receiving anomalies generated by different algorithms, with each anomaly in the anomalies comprising anomaly variable data; comparing fields in one of the anomaly variable data to a table defining cases; assigning one of the cases to the one anomaly variable data when a field in the one anomaly variable data matches an entry in the table; determining a distance between the one anomaly variable data and the one case; assigning a relevance to the one anomaly variable data based upon the distance; adding a relevance field to the one anomaly variable data; assigning the relevance to the relevance field; associating in the table the one case to the one anomaly variable data; providing an interactive environment for collaboration among multiple users; dispositioning the one case based upon results of the collaboration; and retiring the one case.