MIL OSI Translation. Region: Russian Federation –
Thanks to this technology, the time spent on describing beam studies is reduced by 20 percent.
Moscow doctors have described more than 40 thousand x-ray examinations using voice input. It is one of the technologies of a single digital healthcare platform. Now it is used in polyclinics, hospitals and the Moscow Reference Center for Radiation Diagnostics, where radiologists describe radiation examinations remotely.
“Since you no longer need to manually type the text of the conclusion, the time to describe the picture has been reduced by more than 20 percent. Physicians saw good potential in the innovation and are now applying it in their daily practice. In addition, thanks to a unified digital platform, the conclusion is immediately transmitted to the attending physician, and is also available to the patient in the electronic medical record, ”said
Vladimir Makarov, Deputy Head of the Department of Information Technologies for Digitalization of the Complex of Social Development of the City of Moscow.
A project to introduce a technology that allows a physician to describe x-ray results using a voice was launched in June 2019… For voice input, a traditional headset (a set of headphones and a microphone) or special microphones-remote controls are used. Using the touch panel on the console, the doctor switches the images on the workstation, scrolls through them, and the built-in microphone allows him to dictate the examination protocol. The program automatically recognizes words and itself types the text in the description window, the physician only needs to check the finished conclusion before sending it.
Voice input is especially effective when describing volumetric examinations of computed tomography, magnetic resonance imaging and digital radiography. The technology is also useful in cases when you need to fill out templates for descriptions of fluorography and mammography.
The voice input system recognizes not only ordinary speech, but also special medical terms. The algorithm adapts to the pronunciation of each doctor, and it is also possible to replenish the vocabulary base of the system.
EDITOR’S NOTE: This article is a translation. Apologies should the grammar and or sentence structure not be perfect.