The medical information systems vendors are right up there with health insurance companies in terms of their investment in ensuring patient deaths. Ensuring. With an E.
(1) https://www.cap.org/protocols-and-guidelines/electronic-canc...
The medical information systems vendors are right up there with health insurance companies in terms of their investment in ensuring patient deaths. Ensuring. With an E.
(1) https://www.cap.org/protocols-and-guidelines/electronic-canc...
"Contact the CAP for more information about licensing and using the CAP electronic Cancer Protocols for cancer reporting at your institution."
This stinks of the same gate-keeping that places like NIST and ISO do, charging you for access to their "standards".
Can you expand on this?
That's basically medical information system vendors.
The fact that the US hasn't pushed open source EMRs through CMS is insane. It's literally the perfect problem for an open solution.
I know OpenMRS exists but is mainly used within developing nations.
The US has Vista, made by VA, and it is a beast and no one really wants to use it.
EMR software seems like something that shouldn't be that hard. It's fundamentally a CRUD. Sure, there's a lot of legacy to interface with, but medical software seems like a deeply dysfunctional and probably corrupt industry.
Estonia's from-scratch system was reportedly about 10 million euros.
It's not insane, it's because the US is an oligarchy. And it's about to go even more oligarchy on steroids in the next year.
Is Sweden an oligarchy, too? Or France? Etc etc
If I could get access to this data as a random student on the internet, I'd love to create an open source tool that generates an interactive visualization.
Eventually the question will be, how far do we really need to go, i.e. how much profit do we allow ourselves before it's morally untenable and we should plow it back into R&D? Unfortunately, as long as health care is for-profit, and absent effective regulation, companies will always err on the side of profit.
It's a truism in machine learning that curating and massaging your dataset is the most labor-intensive and error-prone part of any project. I don't why that would stop being true in healthcare just because lives are on the line.
There’s multiple countries with socialized medicine and no profit motive and it’s still not solved.
I think it’s just really complex with high negative consequences from a mistake. It takes lots of investment with good coordination to solve and there’s an “easy workaround” with pdfs that distributes liability to practitioners.
Layering any sort of data standard into that environment (and evolving it in a timely manner!) is nigh impossible without an external impetus forcing action (read: government payer mandate).