Together with LUMC, we’ve enabled them to drastically reduce their administrative workload, enabling doctors and caregivers to spend more time with those who need their help.
Every doctor uses his own words and often in a different order. The focus of this initial project will be on reducing the administrative load, followed by more advanced data analysis. Machine Learning is better in recognising patterns than humans will ever be. By comparing complaints, diagnoses and other patterns, it is likely that a diagnosis can be set in an earlier stage.
By using speech-to-text technology we were able to develop an application that automatically records, transcribes and analyses the anamnesis (doctor – patient interview). In time the analysis is reviewed by the specialist and transferred to the EMR-system with the click of a button. This improves the structure of healthcare information and later enables data analytics on symptoms and treatments.
With the help of CTS, LUMC can now automatically transcribe speech saving their doctors over 50% of their administrative time.