Capturing Detailed Structure from Patient-Doctor Conversations for Use in Clinical Documentation

A computer-implemented method comprising:

• receiving an input transcript of a recording of a medical practitioner-patient conversation;
• applying a trained machine learning model to automatically annotate the input transcript, the machine learning model having been trained on a training dataset comprising a plurality of labeled transcripts of respective medical conversations, each labeled transcript having been generated by a user interaction with the transcript, the user interaction having comprised of a user relating two different highlighted spans of text by utilizing an input device of a computing device, and the computing device having been configured to interpret the user interaction to be an indication that the two user-related different highlighted spans of text are medically related to a same health condition of the patient;
• and
• providing the annotated version of the input transcript.

A system comprising:

• a computing device;
• and
• data storage, wherein the data storage has stored thereon computer-executable instructions that, when executed by the one or more processors, cause the computing device to carry out functions comprising:
• receiving an input transcript of a recording of a medical practitioner-patient conversation;
• applying a trained machine learning model to automatically annotate the input transcript, the machine learning model having been trained on a training dataset comprising a plurality of labeled transcripts of respective medical conversations, each labeled transcript having been generated by a user interaction with the transcript, the user interaction having comprised of a user relating two different highlighted spans of text by utilizing an input device of a computing device, and the computing device having been configured to interpret the user interaction to be an indication that the two user-related different highlighted spans of text are medically related to a same health condition of the patient;
• and
• providing the annotated version of the input transcript.