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

1. A method for generating a transcript of a conversation between a patient and a healthcare practitioner, comprising:

providing a rendering of an audio recording of the conversation and generating a display of the transcript of the audio recording using a speech-to-text engine in substantial real time with the rendering of the audio recording;

enabling scrolling through the transcript and rendering a portion of the audio recording according to a position of the scrolling;

automatically recognizing, 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

displaying 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.

2. The method of claim 1 , further comprising:

providing a set of note supplement tools enabling editing of specific portions of the note based on a content of a corresponding portion of the transcript or the audio recording.

3. The method of claim 2 , wherein the set of note supplement tools include at least one of:

a) a display of smart suggestions for words or phrases and a tool for editing, approving, rejecting or providing feedback on the smart suggestions;

b) a display of suggested corrected medical terminology; and

c) a display of an indication of confidence level in suggested words or phrases.

4. The method of claim 3 , wherein the set of note supplement tools include each of the displays a), b) and c) recited in claim 3 .

5. The method of claim 3 , wherein the display of the indication of the confidence level comprises display upon a determination that the confidence level exceeds a threshold confidence level.

6. The method of claim 1 , further comprising:

minimizing display of the transcript and viewing the note only, and wherein the note is generated in substantial real time with the rendering of the audio recording.

7. The method of claim 1 , wherein the words or phrase are placed into appropriate categories or classifications in the note.

8. The method of claim 1 , further comprising:

providing, in the note, supplementary information for symptoms including labels for phrases required for billing.

9. The method of claim 1 , further comprising:

a set of transcript supplement tools to enable editing of specific portions of the transcript based on a content of a corresponding portion of the audio recording.

10. The method of claim 1 , further comprising:

linking words or phrases in the note to relevant parts of the transcript from which the words or phrases in the note originated.

11. The method of claim 1 , wherein the automatically recognizing of the words or phrases is performed by using a trained machine learning model.

12. 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.

13. The server of claim 12 , wherein the instructions cause the server to:

apply the machine learning model to generate the note in substantial real time with the rendering of the audio recording; and

transmit the note by the application programming interface to the workstation.

14. The server of claim 12 , wherein the instructions further cause the workstation to:

provide a set of note supplement tools enabling editing of specific portions of the note based on a content of a corresponding portion of the transcript or the audio recording.

15. The server of claim 14 , wherein the set of note supplement tools include at least one of:

a) a display of smart suggestions for words or phrases and a tool for editing, approving, rejecting or providing feedback on the smart suggestions;

b) a display of suggested corrected medical terminology; and

c) a display of an indication of confidence level in suggested words or phrases.

16. The server of claim 15 , wherein the display of the indication of the confidence level comprises display upon a determination that the confidence level exceeds a threshold confidence level.

17. The server of claim 12 , wherein the instructions further cause the workstation to:

provide, in the note, supplementary information for symptoms including labels for phrases required for billing.

18. The server of claim 12 , wherein the instructions further cause the workstation to:

link words or phrases in the note to relevant parts of the transcript from which the words or phrases in the note originated.

19. The server of claim 12 , wherein the instructions further cause the workstation to:

minimize display of the transcript and enable viewing of the note only.

20. 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.