Keusote social services selected Lingsoft's speech recognition

Keusote Keski-Uudenmaan hyvinvointialueen logo

The wellbeing services county of Central Uusimaa (Keusote) is responsible for the provision of health and social services and the coordination of rescue services and specialised medical care in Hyvinkää, Järvenpää, Mäntsälä, Nurmijärvi, Pornainen and Tuusula. Keusote's health care has been using the Lingsoft Speech Service speech recognition solution for several years.

Lingsoft can save precious time for healthcare (Dagens industri 9.11.2023)

Language experts sit around a conference room table and listen to Janica Asplund, who is telling them how Lingsoft's speech recognition solution can help save time in healthcare patient documentation.

Janica Asplund (on the left) talks about the versatility of speech recognition.
Highly capable AI-based speech recognition for dictation in healthcare delivers good results.

“Patient documentation is three times faster with speech recognition, compared to manual processing,” explains Heikki Korvenranta, Medical Advisor, Healthcare Processes & Information Technology at Lingsoft.

Quality tools for medical transcription

Health care units use a number of methods to produce patient documentation. Some organisations have outsourced all their medical transcription work, while others use in-house transcriptionists. A combination of these two methods is also used. In addition, medical transcriptions are produced using speech recognition, which can be the only, primary or secondary way of producing documentation in the organisation. Whatever the method, the ultimate goal is to achieve quick turnaround times for new entries and to produce high-quality texts.

A tailored language model for forensic transcriptions

Logo of Finnish institute for health and welfare

Lingsoft’s speech recognition solution accelerates and enhances the work of forensic pathologists, as they no longer need to wait for their dictations to be transcribed. Planner Milla Kemppainen from Finnish Institute for health and welfare explains that the experts in the field can use a custom-ordered, separately tailored language model for forensic transcriptions to shorten the editing process.