Machine learning software

treatmentspeech recognitionmedical

In healthcare IT since 2005, ScienceSoft develops secure and efficient medical solutions with voice recognition capabilities. The Essence of Voice Recognition in Healthcare Speech recognition in healthcare is used to convert spoken appointment summaries and health information into consistent health records or to execute voice commands. Speech recognition technology increases medical staff’s productivity by nearly 10%, facilitates better medical data consistency, and improves patient engagement. Healthcare Speech Recognition Market In 2024, the global voice recognition market is expected to reach $8.53 billion. By 2030, it will reach $19.57 billion, growing at a CAGR of 14.8%. The healthcare segment holds the largest share of the market and is expected to contribute the most to the growth. Among the medical fields actively adopting voice recognition are radiology, pathology, and emergency medicine. How Speech Recognition in Healthcare Works Use cases Health records management Speech recognition software transforms physicians’ or patients’ voice input into consistent written reports, appointment summaries, treatment plans, mood journal entries, symptom summaries, etc. Then, this data is uploaded to EHR, a patient or RPM app, or other target software. Appointment transcription During an in-person or online appointment, voice recognition software can differentiate between the physician’s and the patient’s voices and create an accurate visit record. Later, doctors can use this data to create appointment summaries, and patients can revisit the received medical recommendations.