Discrepancies between HH and referring provider lists are common. Future work is needed to address possible safety and care coordination implications of discrepancies in this highly complex population.

Using semantic attributes of concepts and information about document structure as features for statistical classification of assertions is a good way to leverage rule-based and statistical techniques. In this task, the choice of features may be more important than the choice of classifier algorithm.