8 ms·
Want to know the real tragedy here? Those deaths could be prevented if the hospital had better software and procedures. Like some other people noticed, malaria
by M95D 20d ago
Want to know the real tragedy here? Those deaths could be prevented if the hospital had better software and procedures. Like some other people noticed, malaria is rare in Germany. Doctors would not think of this diagnosis until it's too late.
But...
Malaria can be detected by modern hematology automated analyzers. I'm talking about ordinary hematology analyzers, not the ones specialized for malaria. All hospitals do at least one CBC+DIFF for all patients. If anyone cares to look at the warning flags and scattergrams [1], they could have seen that something's wrong, do a blood smear and confirm malaria in 30 minutes. It is a bit difficult, to be honest. Only a lab doc/tech would know how to interpret a scattergram, and some of the flags are extremely unreliable (not iRBC), but that doesn't mean they can be simply ignored.
Unfortunately, in most labs, doctors who check and validate results, do that from the lab software app, not directly from the analyzer, and - devs, take notes! - most hospital/laboratory software I saw (and I saw many) ignore all flags and graphics send by the analyzers. They just take the numbers and that's it. When doctors look at a report, they don't see flags or scattergrams, just the numbers. Can't even tell if the numbers are reliable or not. And this is how malaria diagnosis, and lots of others, are missed.
[1] https://www.mdpi.com/2075-4418/13/22/3397 https://www.mdpi.com/2075-4418/13/22/3397
- rdsubhas 20d agoYep. The system in general is great for treatment, but fails for diagnosis. It takes them a long time to diagnose, sometimes years. But once they manage to do it, then they bring in all the heavy artillery and the health care machine works at it's best. Sadly, it's often too late. Looks to be the case here, appears clearly a diagnosis delay. It does not take much for a skilled system to connect "airport worker" and the right lab readings together. I can't imagine what these people would have gone through. They would have been given the "just a flu" treatment for some days, and then waited many more days for appointments. RIP. PS: What you've said is pretty eye opening! This would amplify a lot of the diagnosis problems.
- M95D 20d agoThat's because lots of investment money go in treatments, not diagnosis. Diagnosed patients are captive consumers. They will pay to get better. AI has the potential to help a lot with diagnosis, but considering that many relevant data don't even enter the system, I have doubts about how effective it could be. On the other hand, I would not trust a cloud AI (or cloud in general) to process my medical data. The temptation to abuse that access for marketing, profiling, insurance prices, etc. would be irresistible.