Method and system for generating transcripts of patient-healthcare provider conversations

A server for displaying a transcript of a conversation between a patient and a healthcare practitioner, comprising:

• one or more processors;
• and
• memory storing computer-executable instructions that, when executed by the one or more processors, cause the server to:
• receive an audio recording of the conversation;
• apply a machine learning model to generate the transcript of the audio recording using a speech-to-text engine in substantial real time with a rendering of the audio recording, wherein the machine learning model is trained to automatically recognize, in the audio recording or in the transcript, words or phrases spoken by the patient relating to one or more of symptoms, medications or other medically relevant concepts;
• and
• transmit the transcript by an application programming interface to a workstation, and wherein the instructions cause the workstation to:
• generate a display of the transcript of the audio recording;
• provide a user interface element enabling scrolling through the transcript and rendering a portion of the audio according to a position the scrolling;
• automatically recognize, in the transcript, words or phrases spoken by the patient relating to one or more of symptoms, medications or other medically relevant concepts;
• and
• display a note simultaneously with the display of the transcript and populating the note with the words or phrases in substantial real time with the rendering of the audio recording.

An article manufacture comprising one or more computer readable media having computer-readable instructions stored thereon that, when executed by one or more processors of a computing device, cause the computing device to:

• provide a rendering of an audio recording of a conversation between a patient and a healthcare practitioner, and generate a display of a transcript of the audio recording using a speech-to-text engine in substantial real time with the rendering of the audio recording;
• enable scrolling through the transcript and render a portion of the audio recording according to a position of the scrolling;
• automatically recognize, in the transcript or in the audio recording, words or phrases spoken by the patient relating to one or more of symptoms, medications or other medically relevant concepts;
• and
• display a note simultaneously with the display of the transcript and populate the note with the words or phrases in substantial real time with the rendering of the audio recording.