Increasing Speed and Accuracy of Electronic Health Record (EHR) Note Taking

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Electronic health records (EHRs) can be a pain in a particular body part. But Tebra and other firms offer ways to automate portions of the record keeping process. And if these automations work, they also increase EHR accuracy.

I’ve previously talked about how an EHR can incorporate a patient identifier, derived from the facial recognition of the patient. This prevents misidentification, which can cause severe problems if the EHR data is applied to the wrong patient.

But how do you populate the rest of the EHR?

According to Tebra, with EHR+.

“Tebra’s EHR+ platform connects care, billing, scheduling, and more. Built-in AI speeds up notes, handles reviews, and automates repetitive admin work.”

Tebra’s AI Note Assist claims to “[t]urn spoken or written words into structured notes,” presumably using natural language processing (NLP) and machine learning specifically trained on medical record keeping.

But always remember to comply with health, privacy, and other relevant laws.

“Before using AI-powered scribe tools, review applicable laws and regulations in your practice’s jurisdiction regarding electronic recordings, AI scribes, and informed consent. Some jurisdictions require verbal or written consent prior to any form of ambient documentation. Check your state board or consult legal counsel for guidance.”

And watch the video.

But Tebra and its competitors face a problem: you can only scream “AI” for so long before your prospects ask, “So what?” 

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