Relisten: Improvement in Perceived Quality of Care and Time Savings in Writing Tasks Through the Automatic Generation of Clinical Notes in Primary Care: a Proof of Concept.

In the medical field, medical record writing is an essential task that requires time and accuracy on the part of healthcare professionals. The medical record, which includes the patient's medical history, any symptoms they have had, treatments performed, and other relevant details, is a critical component in making appropriate medical decisions and ongoing patient follow-up.

In the modern healthcare context, there has been a transition to the digitization of these records, giving rise to the concept of the Electronic Medical Record (EMR). An EMR is the electronic representation of a patient's medical record, created and maintained by healthcare professionals. This digital approach has not only revolutionised the way medical information is stored and accessed but has also improved the efficiency of medical care by facilitating the retrieval of relevant data at the point of care. EMRs provide a centralised platform for medical information management, allowing for more accurate tracking and more coordinated care.

Traditionally, healthcare professionals have spent a significant amount of time writing medical records, which can affect the efficiency and quality of care they provide. This manual task is not only time-consuming, but can also lead to documentation errors, omissions or inconsistencies in the information recorded.

In recent years, the field of Artificial Intelligence (AI) has experienced significant advances in natural language processing and speech recognition. These advances have enabled the creation of automated tools and systems that can accurately and efficiently transform speech into text. In the healthcare setting, this technology has the potential to streamline and improve the writing of medical records, freeing up time for professionals to focus on direct patient care. However, this technology was necessary but not sufficient, and it was not until the advent of generative AI that a key part of the process could be completed to obtain sufficient quality for practical use.

In this context, the Spanish company Recog Analytics has developed Relisten, an automated clinical note writing system that stands out for its specialisation in 1) Face-to-face consultations. 2) Non-guided consultations, in colloquial language to maintain a close relationship with the patient. 3) Multi-language queries (currently supports Castilian Spanish, Catalan, English, Portuguese and others). 4) Easy integration with the electronic medical record and simple use for healthcare professionals. 5) Maximum quality and structuring of the information extracted.