Another topic raised by Nadaa Taiyab during today’s SoCal Tech Forum meeting was ambient clinical intelligence. See her comments on how AI benefits diametrically opposing healthcare entities here.
There are three ways that a health professional can create records during, and/or after, a patient visit.
- Typing. The professional has their hands on the keyboard during the meeting, which doesn’t make a good impression on the patient.
- Structured dictation. The professional can actually look at the patient, but the dictation is unnatural. As Bredebot characterizes it: “where you have to speak specific commands like ‘Period’ or ‘New Paragraph.’”
- Ambient clinical intelligence.
Here is how DeepScribe defines ambient clinical intelligence:
“Ambient clinical intelligence, or ACI, is advanced, AI-powered voice recognizing technology that quietly listens in on clinical encounters and aids the medical documentation process by automating medical transcription and note taking. This all-encompassing technology has the ability to totally transform the lives of clinicians, and thus healthcare on every level.”
Like any generative AI model, ambient clinical intelligence has to provide my four standard benefits: accuracy, ease of use, security, and speed.
- Accuracy is critically important in any health application, since inaccurate coding could literally affect life or death.
- Ease of use is of course the whole point of ambient clinical intelligence, since it replaces harder-to-use methods.
- Security and privacy are necessary when dealing with personal health information (PHI).
- Speed is essential also. As Taiyab noted elsewhere in her talk, the work is increasing and the workforce not increasing as rapidly.
But if the medical professional and patient benefit from the accuracy, ease of use, security, and speed of ambient clinical intelligence, we all win.
Bredemarket 
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