User interfaces for medical documentation system utilizing automated natural language understanding

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

• applying a natural language understanding engine to a free-form text documenting a clinical patient encounter, to automatically derive a first set of one or more engine-suggested medical billing codes for the clinical patient encounter;
• presenting the first set of engine-suggested medical billing codes for the clinical patient encounter in a graphical user interface (GUI) via at least one display;
• accepting user input via at least one input device to modify the presented first set of engine-suggested medical billing codes in the GUI, resulting in an unfinalized set of user-approved medical billing codes for the clinical patient encounter;
• adjusting the natural language understanding engine using the user modification of the first set of engine-suggested medical billing codes as feedback;
• applying the adjusted natural language understanding engine to automatically derive a second set of one or more engine-suggested medical billing codes for the clinical patient encounter, the second set being different from the first set;
• and
• presenting the second set of engine-suggested medical billing codes for user review in the GUI before finalizing coding of the clinical patient encounter.

A method comprising:

• applying a natural language understanding engine, implemented via at least one processor, to a free-form text documenting a clinical patient encounter, to automatically derive a first set of one or more engine-suggested medical billing codes for the clinical patient encounter;
• presenting the first set of engine-suggested medical billing codes for the clinical patient encounter in a graphical user interface (GUI) via at least one display;
• accepting user input via at least one input device to modify the presented first set of engine-suggested medical billing codes in the GUI, resulting in an unfinalized set of user-approved medical billing codes for the clinical patient encounter;
• adjusting the natural language understanding engine using the user modification of the first set of engine-suggested medical billing codes as feedback;
• applying the adjusted natural language understanding engine to automatically derive a second set of one or more engine-suggested medical billing codes for the clinical patient encounter, the second set being different from the first set;
• and
• presenting the second set of engine-suggested medical billing codes for user review in the GUI before finalizing coding of the clinical patient encounter.