4. The method of claim 1 , wherein creating the updated programming comprises establishing one or more rules correlating features of the first portion of the text with the identified at least one user-specified abstract semantic concept, and applying the updated programming comprises applying at least one of the one or more rules to another portion of the text that shares at least some of the features of the first portion.
1. A method comprising: accessing a text documenting a patient encounter; analyzing the text, using at least one processor, to extract a first set of one or more medical facts from a first portion of the text, the extracting comprising processing the text to identify a set of one or more features of the first portion of the text, statistically correlating the set of features of the first portion of the text to a set of one or more abstract semantic concepts, and generating computer-readable data that expresses the set of abstract semantic concepts in human-understandable form as the first set of medical facts extracted from the first portion of the text; receiving, from a user, a correction to the first set of medical facts extracted from the first portion of the text, wherein the correction identifies at least one user-specified abstract semantic concept; processing the user's correction to create updated programming for the at least one processor based on an association between the identified at least one user-specified abstract semantic concept and the first portion of the text; and applying the updated programming, using the at least one processor, in extracting a second set of one or more medical facts from a second portion of the text, wherein applying the updated programming comprises extracting one or more facts similar to the identified at least one user-specified abstract semantic concept from the second portion of the text.