Clinicians Saving Time With Speech Recognition Technology

Saving Time With Speech Recognition

Studies reveal that clinicians are under undue stress due to the increased burden and responsibility of managing electronic health records of their patients. Perhaps, this is why it does not come off as a surprise that many have opted to embrace a certain technology to find relief, speech recognition technology. It has assisted them in streamlining the processes related to care documentation, thus allowing them to focus more on patient care where they are needed more. As doctors already have a lot on their plate, this technology has arrived as blessing that makes their shifts easier than before and boosts their productivity to newer heights.

With medical speech recognition technology such as Dragon Medical One, clinicians can issue notes to an EHR where a mobile app serves as the microphone on their device. After processing these notes, the software updates the medical records of their patients immediately.

Hence, it saves considerable resources of the healthcare institution as the transcription task is handled automatically and internally. It also promotes collaboration among clinicians. This means that clinicians can view the notes of a patient as soon as the treating physician adds them. Documentation was never this straightforward as voice recognition is quickly becoming a seamless component of the IT workflows in hospitals.

There are some prominent names that have become popular for their effective use of speech recognition technology. For instance, Cedars-Sinai and many other hospitals encourage researchers and clinicians to use Amazon Alexa. With Alexa doctors and nurses can view information in real time in a bid to treat patients, particularly those who are in the ICU.

Several dynamic and command-based responses in an EHR system can significantly decrease the time needed to execute traditional dictation. Additionally,

When you train your voice recognition technology, it can fight several issues, circling around common discontentment of EHR systems. Without it, clinicians have to face an extensive list of screens, check boxes, tabs, radio buttons, pick lists, and form fields. All of these tasks easily take up more than 10 minutes of times with hundreds of mouse clicks and requiring a great deal of manual data entry to generate a single exam note. On the other hand, voice recognition can use dynamic, command-based responses to lessen the time of an exam note to barely 90 seconds. It can provide a 25% increase in patient throughput and a 60% overhead decrease.

Additionally newer variants of speech recognition are becoming smarter. For instance, the latest solutions can even modify medication doses by examining the medical records of a patient and altering the prescriptions accordingly. Afterward, the doctor only has to sign them off.

It is a good idea to adopt speech recognition before it gets too late. Whether you work in an administrative position in a hospital or run your own clinic, send us a message, so we can automate your medical IT infrastructure with speech recognition technology.