Categorization of information using natural language processing and predefined templates

Apparatus comprising:

• a processor;
• and
• a processor-readable medium storing processor-executable instructions that, when executed by the processor, perform a method comprising:
• identifying a plurality of alternative hypotheses for a medical billing code corresponding to a portion of text documenting a patient encounter;
• selecting at least two of the alternative hypotheses;
• and
• displaying the selected hypotheses to a user documenting the patient encounter;
• wherein the selecting comprises:
• scoring each hypothesis of the plurality of alternative hypotheses;
• and
• selecting hypotheses of the plurality of alternative hypotheses that exceed a threshold score.

A processor-readable medium encoded with processor-readable code that, when executed, performs a method comprising:

• identifying a plurality of alternative hypotheses for a medical billing code corresponding to a portion of text documenting a patient encounter;
• selecting at least two of the alternative hypotheses;
• and
• displaying the selected hypotheses to a user documenting the patient encounter;
• wherein the selecting comprises:
• scoring each hypotheses of the plurality of alternative hypotheses;
• and
• selecting hypotheses of the plurality of alternative hypotheses that exceed a threshold score.