Using Automated Medical Transcription Software Is More Counter-Productive Than You Think!

Over the past few years, software companies have been working to improve automated voice recognition software, and they’ve shown a tremendous amount of progress. For instance, Google now recognizes 119 languages for voice-to-text dictation.

There’s no doubt that speech recognition is the future. From smart home devices to mobile assistants, every system relies on voice commands to function. The likes of Amazon Alexa, Google Assistant, Siri, and Cortana are common examples.

Speech recognition technology isn’t limited to mainstream software; it’s also paving the way to a more accurate future in the transcription industry. Using smart artificial intelligence (AI) technology, it can transcribe audio into written text. But, is it good enough? Let’s find out!

Artificial Intelligence is just not there yet!

While voice recognition technology has drastically improved over the past few years, it’s still not ready to match the performance of transcription done by humans. In fact, it can lead to inaccurate transcripts and inaccurate results.

Lack of cognitive thinking

A high volume of transcription work needs to be performed in the medical industry, hence, automated transcription software may sound like a tempting choice, but it comes with many caveats. An algorithm can be easily fooled in many areas where humans can’t.

According to the MIT Technology Review, the reason AI can’t compete with a human in voice recognition is due to a lack of rational reasoning. Unlike humans, AI is unable to create relationships between different mental representations.

AI analyzes ideas and objects separately, hence unable to connect the dots like humans who use cognitive thinking to make assumptions and understand the context. Humans can differentiate between what’s actually in the audio and what they think they heard.

Loss of productivity

Computers can easily perform hard calculations and solve complex equations in a matter of minutes, but when it comes to cognitive thinking, there’s still a long way to go. Computers can’t comprehend information that’s not present in the software. And that’s exactly the reason automated software can cause loss of productivity in medical practices.

Medical transcription work can be extremely complex, and AI cannot keep up with the accuracy. Due to different accents, speech patterns, grammar, and punctuation, it can’t deliver the precise results that are anywhere near the required accuracy standards.

Moreover, there are many other factors such as homonyms, unusual words, overlapping speech, and ambient noise that can affect the rate of accuracy of automated speech recognition software.

Final verdict

The current AI-powered voice recognition technology isn’t advanced enough to match human transcription services. Hiring a professional human transcription service provider is a better choice as it offers more affordable and quick service as well as accurate results.

If you’re looking for a professional transcription service provider, get in touch with us today! Based in Canada, we’re a team of experienced and highly-qualified transcription experts that have been offering highest-quality medical transcription services to our clients since past three decades.