Studies reveal that clinicians are burned out. Partly, due to the increased burden and responsibility of managing patient documentation. This is why it shouldn’t come as a surprise that many have opted to embrace clinical speech recognition technology.
This technology has assisted clinicians in streamlining the processes related to care documentation. Therefore, allowing them to focus more on patient care where they are needed more.
Clinicians 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 dictate directly to an EHR. Furthermore, a mobile app serves as the microphone on their smartphone. After processing these notes, the software updates the medical records of their patients immediately.
This saves a considerable amount of resources for the healthcare institution. The costs associated with transcription are completely eliminated. 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. It’s a fact that voice recognition is quickly becoming a seamless component in the healthcare industry.
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.
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.