MEDICAL CONVERSATIONAL INTELLIGENCE

MEDICAL CONVERSATIONAL INTELLIGENCE

Systems and methods for performing medical audio summarizing for medical conversations are disclosed. An audio file and meta data for a medical conversation are provided to a medical audio summarization system. A transcription machine learning model is used by the medical audio summarization system...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Zhang, Tianze, Chiou, Matthew Chih-Hui, Chakraborty, Amiya Kishor, Arora, Anuroop, Handa, Sarthak, Gupta, Mohit Narendra, Sembium Varadarajan, Varun, Deng, Jesse, McGookey, Shane Michael, Sawant, Amit Vithal, Bhattarai, Rohil, Carpenter, Glen Herschel, Schiff, Samuel Benjamin, Gupta, Vijit
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
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Beschreibung
Zusammenfassung:Systems and methods for performing medical audio summarizing for medical conversations are disclosed. An audio file and meta data for a medical conversation are provided to a medical audio summarization system. A transcription machine learning model is used by the medical audio summarization system to generate a transcript and a natural language processing service of the medical audio summarization system is used to generate a summary of the transcript. The natural language processing service may include at least four machine learning models that identify medical entities in the transcript, identify speaker roles in the transcript, determine sections of the transcript corresponding to the summary, and extract or abstract phrases for the summary. The identified medical entities and speaker roles, determined sections, and extracted or abstracted phrases may then be used to generate the summary.