Physician speech recognition

2024: Global spending on cloud-based physician speech recognition solutions reached $1.97 billion in a year

At the end of 2024, the costs in the global market of cloud software for speech recognition of doctors amounted to $1.97 billion. Almost half of this amount fell on the North American region. The corresponding data is contained in the Fortune Business Insights study, the results of which were published on August 5, 2025.

One of the market drivers is the ongoing digital transformation of healthcare organizations, which is accompanied by active migration of workloads to the cloud. The use of these platforms provides a number of advantages over the local IT infrastructure. In particular, institutions are able to significantly reduce initial capital expenditures, since there is no need to purchase expensive equipment. In addition, flexibility and scalability are provided. Doctors can work with this software from anywhere in the world with an Internet connection. Software usually includes features such as speech recognition and a medical dictionary. Integration with electronic health record systems is possible, enabling more accurate and efficient conversion of audio recordings into text.

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Фото: Freepik

The growing demand for telemedicine services is having a positive impact on the industry. Cloud-based software tools for physician speech recognition help close the gap between patients and healthcare professionals by preventing misunderstandings and facilitating faster diagnosis. Such software provides accurate and efficient documentation of virtual consultations.

Another stimulating factor is the rapid development of technologies. artificial intelligence Neural networks improve the quality of speech recognition: these systems are able to better understand the context thanks to multilingual language support. Leading industry players invest heavily in AI platforms and advanced natural language processing tools (). NLP

At the same time, the authors of the study point to certain restraining factors. The implementation of cloud-based physician speech recognition software requires strict regulatory compliance. These standards aim to ensure the safety, accuracy and ethical use of AI-based transcription tools. In addition, the processing of confidential patient data entails risks associated with leaks of personal information. Attackers are constantly improving tactics by using AI tools to develop exploits and automate the process of hacking systems.

By application ON , the market is segmented into cardiology, neurology, radiology, oncology, etc. In 2024, the largest share of revenue was provided by the oncological direction. This is due to the growing prevalence of malignancies. According to the World Organization health care WHO , 20 million new cancer cases and 9.7 million cancer deaths were reported globally in 2022. Geographically, it leads North America with a share of 46.7%, or $0.92 billion. Globally, significant players are named:

• Deepgram;
• Invox Medical;
• Amazon Web Services;
• 3M;
• NXGN Management;
• Google;
• Siemens Healow;
• Healthcare Private Limited;
• Microsoft;
• WebChartMD.

Fortune Business Insights analysts believe that in the future, the CAGR in the market under consideration will be 16.9%. Thus, by 2032, expenses may increase to about $6.74 billion.^[1]

2016

Rostelecom plans for a project in Murmansk

In December 2016, it became known about Rostelecom's plans to save doctors from the need to write and even print. The state operator proposed to develop a system with which doctors can fill out medical records by voice.

According to a Life letter sent by Rostelecom Vice President Artemy Prokopenko to the Director of the Department information technology and Communications, Ministry of Health Elena Boyko the company plans to conduct a "pilot project providing for the use of speech recognition technologies for doctors."

Rostelecom creates a system for recognizing the speech of doctors

It is assumed that the professional medical speech recognition service proposed by Rostelecom will allow doctors to dictate information for maps, protocols and other documents through a special worn headset. The operator declares in the service the quality of speech recognition at the level of 96% and the ability to recognize all medical terms and expressions, as well as eliminate extraneous voices and noises.

The advantages of the new system in Rostelecom are the following: a significant reduction in the time for filling out the necessary medical documents, an improvement in the quality of medical services due to the ability to spend the time freed up on examining the patient and making a diagnosis, an increase in the number of patients served per day, an improvement in the quality of life and health of citizens.

Rostelecom intends to pilot test the technology in the Murmansk Regional Clinical Hospital named after P.A. Bayandin and, possibly, in seven more medical institutions in the region.^[2]

In Russia, create a voice assistant for doctors for 250 million rubles

On November 18, 2016, it became known about the development in Russia of a speech recognition program intended for medical institutions. Thanks to the new system, doctors will be able to get rid of paperwork. Read more here.

2014: Project in Moscow

In 2014, it became known about the implementation of a project on voice typing by doctors in Moscow. First of all, the system was intended for therapists. However, the authorities of the capital abandoned this idea, since the doctors did not have the accumulated skills, said Vladimir Makarov, deputy head of the information technology department.

See also

• Speech Recognition (Technology, Market)
• Speech technology: On the path from recognition to understanding
• Speech synthesis

• See also: Biometric market today
• Biometric identification (Russian market)
• National Biometric Platform (NBP)
• Unified Biometric System (UBS) of Bank Customer Data
• Biometric Identification (Global Market)
• Biometric identification technologies
• Facial Recognition Systems
• Biometrics myths
• A brief history of biometrics
• Biometrics and Border Control
• ACS
• Biometric Time and Attendance Systems
• Video surveillance systems
• Video analytics
• Authentication systems
• Information Security - Fraud Detection System (Fraud)

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