A SYSTEM AND METHOD FOR MONITORING THE TRANSLATION INTEGRITY OF CLINICAL ASSOCIATES IN MULTILINGUAL CLINICAL INTERVIEWS AND GENERATING A STRUCTURED EXAMINATION REPORT.

Abstract

This invention relates to a system and method that checks the translation integrity of clinical entities in multilingual clinical interviews and produces a structured examination report, which can be used in health informatics, clinical translation systems, multilingual patient communication systems, dental clinics, health tourism centers, implantology, aesthetic dentistry, oral surgery, orthodontics, periodontology, endodontics, prosthetic applications, post-operative follow-up systems, medical aesthetic clinics, clinical documentation systems, patient safety software, natural language processing applications, speech recognition systems, machine translation systems and clinical language training platforms. Its feature is; an input module (4) that receives audio and / or written clinical interview data from the physician and / or patient, a processor (1) that performs language detection and speaker role determination operations on the said clinical interview data, extracts clinical entities from the clinical interview data,A security engine (3) that performs clinical entity-based integrity checks by matching the clinical entities extracted from the source clinical interview data with their counterparts in the target language translation and calculates a security score based on the results of the integrity check; a translation module (5) that converts the clinical interview data in the source language to the target language based on the extracted clinical entities; an alert module (8) that generates a manual confirmation alert when incomplete, erroneous, ambiguous or low-reliability transfers are detected based on the security score; a database (2) that stores clinical interview summary, clinical entities, security score, alerts and follow-up data; and a reporting module (7) that converts the clinical interview data into a structured examination report at the end of the clinical interview.It consists of a transcription module (10) that converts the audio clinical interview data into text and a clinical matching and terminology normalization module (11) that matches the clinical entities extracted from the source clinical interview data with their counterparts in the target language translation via the clinical entity matching matrix and performs terminology normalization.