16. Apparatus comprising: at least one processor; and a memory storing processor-executable instructions that, when executed by the at least one processor, perform a method comprising: processing a free-form narration of a patient encounter provided by a clinician, using natural language understanding, to identify one or more options corresponding respectively to one or more clinical facts that could be extracted from the free-form narration of the patient encounter, the processing comprising analyzing the free-form narration to identify a set of one or more features of at least a portion of the free-form narration, 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 that could be extracted from the free-form narration; providing to a user the one or more options corresponding to the one or more clinical facts corresponding to the one or more abstract semantic concepts identified from the processing of the free-form narration; receiving from the user a selection of a first option of the one or more options, the first option corresponding to a first fact of the one or more clinical facts; and updating a textual representation of the free-form narration to identify the first fact as having been ascertained from the patient encounter.
16. Apparatus comprising: at least one processor; and a memory storing processor-executable instructions that, when executed by the at least one processor, perform a method comprising: processing a free-form narration of a patient encounter provided by a clinician, using natural language understanding, to identify one or more options corresponding respectively to one or more clinical facts that could be extracted from the free-form narration of the patient encounter, the processing comprising analyzing the free-form narration to identify a set of one or more features of at least a portion of the free-form narration, 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 that could be extracted from the free-form narration; providing to a user the one or more options corresponding to the one or more clinical facts corresponding to the one or more abstract semantic concepts identified from the processing of the free-form narration; receiving from the user a selection of a first option of the one or more options, the first option corresponding to a first fact of the one or more clinical facts; and updating a textual representation of the free-form narration to identify the first fact as having been ascertained from the patient encounter. 28. The apparatus of claim 16 , wherein the user is the clinician.