In terms of utility, Dragon - a particular voice recognition company acquired by Nuance - boasts 99 percent accuracy and features vocabulary for over 90 medical specialties and subspecialties.
WHICH IS THE BEST VOICE RECOGNITION SOFTWARE SOFTWARE
The capabilities of Nuance’s speech recognition software are so advanced that t hey even play a large role in the iPhone’s Siri application. At the end of the process, a transcriptionist reviews the form, but a physician or other provider usually still signs off on the completed document.Ī provider of speech recognition in multiple industries, Nuance’s Dragon Medical speech recognition software is the clear leader in the healthcare segment of speech recognition. The text is then filtered through a template that captures the requisite clinical information. However, a front-end process does require a physician or healthcare provider to review and sign off on the text, which can take longer.Ī back-end process relies on the software to convert speech directly into text without initial oversight from the physician who dictated the notes. KLAS’s study looked at front-end voice recognition specifically, and this type of software seems to be more popular because it significantly reduces the role of the transcriptionist and recoups those expenses for the hospital or practice. Voice recognition software comes in two broad forms: front-end and back-end.įront-end voice recognition software relies on a physician or nurse to activate the software, select the right input fields while dictating notes, review the notes, and then sign off on the document. If the accuracy of the patient document can be maintained, these improvements in transcription and documentation time can also improve clinical documentation, which can result in a higher reimbursement rate. All of these hospitals already used voice recognition in some capacity, and correlated improvements in transcription time, documentation time, and completeness of patient narratives to the use of this software.ĭepending on the type of voice recognition process hospitals set up, the facility can save a substantial amount on transcription fees.
KLAS recently interviewed 10 hospitals about voice recognition, and nine out of 10 hospitals plan to expand their use of speech recognition. Once offered as separate software, the top voice recognition apps now integrate directly with a number of EHR platforms.Īdoption of this software has been hamstrung by low accuracy rates - low in this context meaning in the 80 percent range - but improvements in the software’s transcription capabilities have boosted accuracy rates into the mid to high 90 percentages. Voice recognition software offers a viable alternative to the cumbersome EHR interface. In a profession perpetually strapped for time, the added hours of data input are a significant burden. Physicians have never really warmed to the drop down menus and numerous points and clicks required to enter information. While EHRs are effective vehicles for documentation, they are not the most efficient mediums. The user experience of documentation has been a problem ever since providers began using EHRs on a widespread scale.