Hi Stephen, thank you for the warm welcome and for the thoughtful question.
I’m an AI specialist with a background in computer science and artificial intelligence. I’m part of a team exploring where AI might be able to meaningfully support clinicians using OpenEMR, whether that’s making documentation easier, streamlining repetitive workflows, or helping the system adapt better to real-world use.
One area we think has strong potential is speech-to-text. But before moving toward any solution, our priority is to understand whether this is something the clinical community truly finds valuable or would use in practice.
Over the past several days, I’ve been reviewing forum discussions related to documentation and voice input. I’ve come across about 20 thoughtful posts on speech recognition, and many sparked interesting discussions among developers, but they didn’t seem to draw much engagement from clinicians at the time.
I also posted a question in the Development section and received insightful feedback from several active community members.
Now I’m hoping to better understand the clinical perspective. What parts of documentation feel most painful, and where could the system better support your daily workflow?
Any insights would mean a lot.
Best,
Jasmine
Link to the related Development post: