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.
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