AI-powered, automated, and super-accurate speech recognition infrastructure tool for all of your audio and video data.
Made with ❤️ and ☕ in Bucharest
CASE STUDIES - HEALTHCARE
In the fields of radiology, imaging, and ultrasound, doctors and nurses spent a significant amount of time manually inputting data into computers. SofMedica Group tried multiple competitors in the speech-to-text industry but was not satisfied with the accuracy level they achieved in the medical field.
The company aimed to develop and implement a custom software solution to automatically convert medical dictations and clinicians' notes from audio recordings into text. The goal was to transfer this information into SofMedica's IT systems, which automatically collect patient data and build a patient's medical record. This would include information such as analyses, scan reports, and medical consultations.
Emerald aimed to increase its competitiveness and differentiate itself in the market by implementing a highly accurate speech-to-text solution, tailored for the medical field.
This would result in:
an improved customer and clinician’s experience.
increased operational efficiency, including faster execution.
cost reduction in the medium and long term.
Anca-Maria Fodulu
Operations Manager, Emerald Medical Center
Vatis Tech required a minimum of 30 hours of data recordings featuring medical tests interpretation, scans, and clinical notes from various medical specialties. That was necessary to label and validate sufficient learning data, which helped calibrate the Romanian artificial intelligence algorithms used within the Vatis Tech platform.
Emerald, along with a team of clinicians involved in the project, went the extra mile for a month to record audio of simulated interpretations of medical lab tests. The effort aimed to cover all medical terminology and abbreviations.
Vatis Tech's AI algorithms were fine-tuned using radiology audio data over a period of 2-3 months.
Vatis Tech's AI algorithms have been calibrated on medical terminology used in radiology and imaging through sustained efforts over a period of 2-3 months, using audio data.
Emerald achieved higher accuracy in transcription, sometimes reaching close to 100%.
Speech-to-text applications have alleviated clinicians from time-consuming documentation tasks, enabling them to focus on patient care. The speech-to-text solution provided by Vatis Tech was fast, accurate, and automatically transcribed audio files 10x faster than manual transcription. This saves time and makes workflows faster and easier.
Implement the speech to text technology developed by Vatis Tech in all of their newly opened clinics.
Dr. Răzvan Capșa
Medical Director, Primary Radiology and Medical Imaging Physician
AI-powered, automated, and super-accurate speech recognition infrastructure tool for all of your audio and video data.
Made with ❤️ and ☕ in Bucharest
