Methods and apparatus for linking extracted clinical facts to text

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:
• extracting a plurality of clinical facts from a free-form narration of a patient encounter provided by a clinician, wherein the plurality of clinical facts comprises a first fact and a second fact, wherein the first fact is extracted from a first portion of the free-form narration, and wherein the second fact is extracted from a second portion of the free-form narration, the extracting comprising
• analyzing the free-form narration to identify one or more sets of features of at least the first and second portions of the free-form narration,
• correlating the one or more sets of features to a plurality of abstract semantic concepts, and
• generating computer-readable data that expresses the plurality of abstract semantic concepts as the plurality of clinical facts extracted from the free-form narration;
• and
• providing to a user a first indicator that indicates a first linkage between the first fact and the first portion of the free-form narration, wherein providing the first indicator comprises:
• in response to the user selecting the first fact via a user interface, providing to the user an indicator that distinguishes the first portion of the free-form narration from which the first fact was extracted from other portions of the free-form narration from which the first fact was not extracted;
• and
• providing to the user a second indicator, different from the first indicator, that indicates a second linkage between the second fact and the second portion of the free-form narration.

At least one non-transitory computer-readable storage medium encoded with a plurality of computer-executable instructions that, when executed, perform a method comprising:

• extracting a plurality of clinical facts from a free-form narration of a patient encounter provided by a clinician, wherein the plurality of clinical facts comprises a first fact and a second fact, wherein the first fact is extracted from a first portion of the free-form narration, and wherein the second fact is extracted from a second portion of the free-form narration, the extracting comprising
• analyzing the free-form narration to identify one or more sets of features of at least the first and second portions of the free-form narration,
• correlating the one or more sets of features to a plurality of abstract semantic concepts, and
• generating computer-readable data that expresses the plurality of abstract semantic concepts as the plurality of clinical facts extracted from the free-form narration;
• and
• providing to a user a first indicator that indicates a first linkage between the first fact and the first portion of the free-form narration, wherein providing the first indicator comprises:
• in response to the user selecting the first fact via a user interface, providing to the user an indicator that distinguishes the first portion of the free-form narration from which the first fact was extracted from other portions of the free-form narration from which the first fact was not extracted;
• and
• providing to the user a second indicator, different from the first indicator, that indicates a second linkage between the second fact and the second portion of the free-form narration.