Guest Blog by Emergency Room Physician, Thomas Lang, MD

At first, when I used speech recognition in creating clinical notes, I didn’t like it at all. At that juncture in time, there was a transition from paper and what I call ‘straight dictation’ (that is, a transcriptionist would type out for me what I had just rattled off into the dictaphone) into a more digital and automated world. At that time, speech recognition simply wasn’t very good, requiring way too much editing by the user. Accuracy of speech recognition has dramatically improved recently.

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Harvard Business School professor, Clayton M Christensen coined the phrase ‘disruptive innovation’, also referred to as ‘disruptive technologies’, in 1995.  Disruptive innovation is the process by which a product enters the market with simple applications and then steadily works its way up, eventually displacing established competitors.

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Healthcare workflow management is not a simple task. Many processes are involved, including financial management, staff, patients, legal issues, logistics, inventory, and more. It can all get a bit overwhelming— especially when each is done by hand. Since medical data is so sensitive and regulated, it can be a bit more difficult to find technologies that help improve healthcare workflow management. However, it’s something that needs to be considered.

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Is your hospital or clinic considering the advantages and disadvantages of speech recognition for EHRs? Speech recognition systems are becoming quite popular in the healthcare industry, and for good reason. It is a nearly hands-free way for clinicians to enter data and fill out a patient’s electronic chart. Here are some of the pros and cons of implementing a speech recognition solution as a part of your electronic health record.

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Do you remember the early days of voice recognition technology and the first voice recognition systems? Years ago, when you called a number and were instructed to use your voice to select options, it usually turned into a frustrating experience. These voice recognition programs weren’t sophisticated enough to understand everyone’s voice, so many users were disappointed. However, voice recognition has made an enormous amount of progress since then. Now, when you call the pharmacy to refill a prescription or when you call a business hotline, you’re much more likely to experience success with the voice recognition customer care system.

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Speech Recognition in Healthcare

Speech recognition programs identify spoken words and then either complete a task or translate the spoken word into text. If you have ever dictated something to your phone or your vehicle (such as instructing it to ‘Call Mom’), then you’ve used a form of speech recognition technology. Healthcare providers often use speech recognition to generate medical documentation.

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It’s hard to imagine a world without voice recognition technologies like Siri, Amazon Echo, and Google Voice. They make life so much easier! Although it may seem like a more recent invention, voice recognition technology has existed since the 1950s. Of course, when it was first invented it looked a lot different than it does today. Here’s a look at how the technology has evolved from analog to today’s modern voice recognition devices.

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Dolbey and Company has been going strong since 1914, but the technology for recording voice and sound had an interesting history even before we came onto the scene! From Edison’s phonograph to modern digital audio files, sound and voice recording has a rich history.

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