System for transcribing and performing analysis on patient data

A system comprising:

• one or more computer processors;
• and
• a non-transitory computer-readable storage medium storing computer instructions, which when executed by the one or more computer processors cause the system to:
• transcribe physician input received from a physician using a voice-interactive transcription system that is configured to be voice-controlled by the physician, wherein the voice-interactive transcription system has a plurality of transcription modules that are selectable by the physician for a surgical procedure;
• during the surgical procedure being performed on a patient's body,
• analyze the patient's body using a machine learning model associated with a selected one of the transcription modules to identify one or more surgical events based on sensor data generated from intraoperative patient vital measurements of the patient's body and the transcribed physician input, the machine learning model trained based on input from the physician, historical patient data, and historical treatment data;
• and
• output verbally an analysis of the patient's body to the physician using computer-generated natural language.

A non-transitory computer-readable storage medium storing computer instructions, which when executed by one or more computer processors cause the one or more computer processors to:

• transcribe physician input received from a physician using a voice-interactive transcription system that is configured to be voice-controlled by the physician, wherein the voice-interactive transcription system has a plurality of transcription modules that are selectable by the physician for a surgical procedure;
• during the surgical procedure being performed on a patient's body,
• analyze the patient's body using a machine learning model associated with a selected one of the transcription modules to identify one or more surgical events based on sensor data generated from intraoperative patient vital measurements of the patient's body and the transcribed physician input, the machine learning model trained based on input from the physician, historical patient data, and historical treatment data;
• and
• output verbally an analysis of the patient's body to the physician using computer-generated natural language.