[cabaalis]

I deal with various EHRs every day of my life, and 4-digits-worth of providers. The primary barrier is that practice managers are working to get data standardized, but get pushback from the providers who are busy doing their jobs being doctors and not data scientists.

Some EHRs can streamline via templates and workflow. Others don't. I've literally had practice admins not implement new practices that would document properly and facilitate easy reporting because they would not be able to sell the change to the providers.

I'm not blaming providers for the data issues. They have a job to do and they do it. It just doesn't always get documented in a reportable manner. There needs to be an easier way to document, or some kind of Middleware that documents for them.

I see people a whole lot smarter than me trying to use ai to interpret notes. I personally think they are just facilitating the ongoing poor documentation problem. And things will slip through the natural language cracks, and it could be a potential health hazard.

[egillie]

Agreed that 95% correct (or even 99%) AI probably isn’t the solution here, I’m surprised to see so many startups doing AI/NLP for doctors’ notes