1. A method comprising: receiving an original free-form text narrative of a patient encounter provided by a clinician; re-formatting the original free-form text narrative, using at least one processor, in a manner that facilitates clinical fact extraction performed by a fact extraction engine on a formatted text resulting from the re-formatting; extracting one or more clinical facts from the formatted text using the fact extraction engine, wherein a first fact of the one or more clinical facts is extracted from a first portion of the formatted text, wherein the first portion of the formatted text is a formatted version of a first portion of the original free-form text narrative, the extracting comprising analyzing the formatted text to identify a set of one or more features of at least the first portion of the formatted text, correlating the set of features to one or more abstract semantic concepts, and generating computer-readable data that expresses the one or more abstract semantic concepts as the one or more clinical facts extracted from the formatted text; and providing to a user an indicator that distinguishes the first portion of the original free-form text narrative that resulted in extraction of the first fact, from other portions of the original free-form text narrative that did not result in the extraction of the first fact.
1. A method comprising: receiving an original free-form text narrative of a patient encounter provided by a clinician; re-formatting the original free-form text narrative, using at least one processor, in a manner that facilitates clinical fact extraction performed by a fact extraction engine on a formatted text resulting from the re-formatting; extracting one or more clinical facts from the formatted text using the fact extraction engine, wherein a first fact of the one or more clinical facts is extracted from a first portion of the formatted text, wherein the first portion of the formatted text is a formatted version of a first portion of the original free-form text narrative, the extracting comprising analyzing the formatted text to identify a set of one or more features of at least the first portion of the formatted text, correlating the set of features to one or more abstract semantic concepts, and generating computer-readable data that expresses the one or more abstract semantic concepts as the one or more clinical facts extracted from the formatted text; and providing to a user an indicator that distinguishes the first portion of the original free-form text narrative that resulted in extraction of the first fact, from other portions of the original free-form text narrative that did not result in the extraction of the first fact. 8. The method of claim 1 , further comprising prompting a user to approve the formatted text.