The new tool, based on deep learning technology, promotes more personalized treatment by doctors
The UMU, together with the Murcian company Vócali Sistemas Inteligentes, has developed a new tool that assists doctors and patients during consultations, helps doctors to focus on the patient and thus offer a more personalized and comprehensive treatment, while intelligently transcribing and processing the interview and automatically for later reference. Thanks to this system, the doctor can talk to the patient and/or their companions without having to worry about manual data collection.
“The new platform is able to identify different speakers and record the audio independently. This is possible thanks to a tailor-made device developed under the project, which is based on a microphone array, a device similar to a smart speaker, and smart software that enables audio transcription and clinical knowledge extraction,” emphasizes Rafael Valencia , one of the UMU researchers responsible for this work.
The transcripts collected by this system are then processed using knowledge extraction and natural language processing technologies, capturing and structuring various useful knowledge for the clinician, such as symptoms, diseases, previous episodes, medications to be prescribed or diagnostic tests. “For example, the doctor can focus on the patient during the consultation and a report is written semi-automatically when the patient visits, and functionalities are provided to prescribe medicines or generate flyers for diagnostic tests,” adds Professor Valencia. at.
In addition to Rafael Valencia, professors Francisco García Sánchez and José Antonio García Díaz, from the Knowledge Modelling, Processing and Management Technologies (Tecnomod) research group, also participated in this project on behalf of the UMU.
These researchers have developed the intelligent extraction of medical knowledge module that allows the extraction of clinical information in natural language. They also performed several prototypes based on the recognition of named entities and semantic annotation systems of domain ontologies, which allow the identification of these concepts and the relationship between them.
The prototypes have been developed autonomously and independently. This allows the company to apply these models to solve other problems and adapt them to programs that can be applied in real time.
Vócali is a technology-based company that develops natural language processing and speech recognition solutions. It currently concentrates its activities in the field of health and medicine and has several solutions for publishing clinical reports in Spanish, such as the INVOX Medical platform.
This collaboration between UMU and Vócali is part of the project ‘Deep learning based system for the transcription and extraction of knowledge in doctor-patient interviews’, funded by the Center for Technological and Industrial Development.
Source: La Verdad
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