SPEECH RECOGNITION – STATE-OF-THE-ART for Coding…

Not only is man’s speech becoming rapidly digitized, there is also technology of which you should all be aware – Natural Language Processing (NLP). Whereas a speech recognition engine understands what you "say" , NLP understands what you "mean”, thus, when utilized within Electronic Medical Records it can actually assist you in decision support and coding. Stay tuned, more to come...

WORK ENVIRONMENT-Two Places at Once!

Just as in life, when working with technology it is important to know your environment. Whereas many of today's medical technology applications are virtual (hosted in the cloud) the higher performing applications are hosted on the user’s local device. Consult your speech recognition expert to achieve optimum performance. The general rule of thumb is thin client/the client – works very well, thin client/thick client  - works moderately well and thin client/thin client requires speech recognition in a virtual environment as well.

SPEECH RECOGNITION and ACCURACY

Having a speech recognition system that is high-performance, serves your needs, saves you time and money requires minimal maintenance, nonetheless, requires maintenance – just like your sports car. Just like getting your oil changed on a regular basis, you should also perform your accuracy tuning with your speech recognition system. In Dragon Medical >  Audio you will find these tools. First, get with your Dragon trainer to make sure your voice and microphone settings are maximized; several tweaks are not readily available when you install Dragon right out-of-the-box. Then you would proceed to the "read text for accuracy tuning". However, there are some additional tweaks that your certified Dragon trainer can help you with including the genesis of your user profile.

FILE CLONING vs. INDIVIDUAL PATIENTS

Does this sound familiar? My EMR forces me to "point and click, click, click" resulting in charts starting to all look the same.
• Agreed: E/M coding analyzes the number of CLICKS within various components such as ROS and PMH.
• Agreed: Pay for Performance requires information about diagnoses and various laboratory values.

However, the narrative within the History of Present Illness is less important for E&M Coding or for PQRI.

CONCLUSION: It is important that you treat each individual patient as an INDIVIDUAL patient, thus, speech recognition.

---------

Here is a link to the current government initiative: CLICK HERE.

SCRIBES vs. SPEECH RECOGNITION

Control, expense, patient/provider rapport? This is a simple one; spending $33,000 for an average scribe’s salary, sacrificing the control you have as a provider over the chart and violating the one-on-one rapport you have worked hard to develop with your patient vs. current speech recognition technology, makes the decision simple - the game changer, however, is to have a technology company like Healthcare Information Technologies, LLC (HIT) tailor your solution so that you have the structured data being placed in your electronic medical records exactly where it needs to be.