3 ms·

historically medical community don't have enough data about how post-infection recovery has been in large populations w.r.t heart rates I'd agree here. Most d

by kirse 3y ago

historically medical community don't have enough data about how post-infection recovery has been in large populations w.r.t heart rates I'd agree here. Most doctors have not really caught up to the giant data science revolution we have going on. A couple years ago I bought one of these [1] while trying to diagnose some general health/fatigue issues and after a year of data logging and life experiences it was pretty cool to watch how my HR/O2 numbers changed in response to various events - long bike rides, strength training, getting a cold, being on antibiotics, etc. The nice thing about this device was 1) it's much more accurate than smart watches and 2) provides raw time-series data vs some abstract fancy marketing UI. At this point I now do comprehensive bloodwork panels at least quarterly and while I don't use the O2 device anymore I still have the baseline data saved. I'd recommend to anyone to start recording this type of data while you subjectively "feel good". It'll make it much easier to diagnose + press doctors on health issues if you can point to data associated with a time you felt well. [1] https://www.amazon.com/Wellue-O2Ring-Wearable-Sleep-Monitor/dp/B08HDGBF7P https://www.amazon.com/Wellue-O2Ring-Wearable-Sleep-Monitor/...

jandrese 3y ago
Big data work on healthcare is stymied not only by inconsistent collection, but also healthcare privacy laws and a lack of standardization across the industry. So many medical device manufacturers are holed up in their little silos and have no interest in contributing to the general knowledge. They are in it to make money, not to advance the science.
- plagiarist 3y ago
  Healthcare privacy laws are not a hindrance in the US. Basically all one needs is a business agreement with a HIPAA-compliant entity and one can send PHI data. And certainly so if the patient opts in. So I would say it is 100% due to the siloing and proprietary enshittification endemic to the industry. They don't want to help science, they want vendor lock-in.
huijzer 3y ago
> I'd agree here. Most doctors have not really caught up to the giant data science revolution we have going on. Well, compared to psychology researchers, the medical researchers are doing pretty well on data science. I‘m not joking. In psychology, data science just doesn’t exist yet. P-values still rule the day and overfitting is a term they have never heard of.

by kirse 3y ago

jandrese 3y ago

Big data work on healthcare is stymied not only by inconsistent collection, but also healthcare privacy laws and a lack of standardization across the industry. So many medical device manufacturers are holed up in their little silos and have no interest in contributing to the general knowledge. They are in it to make money, not to advance the science.

plagiarist 3y ago
Healthcare privacy laws are not a hindrance in the US. Basically all one needs is a business agreement with a HIPAA-compliant entity and one can send PHI data. And certainly so if the patient opts in. So I would say it is 100% due to the siloing and proprietary enshittification endemic to the industry. They don't want to help science, they want vendor lock-in.

huijzer 3y ago

> I'd agree here. Most doctors have not really caught up to the giant data science revolution we have going on. Well, compared to psychology researchers, the medical researchers are doing pretty well on data science. I‘m not joking. In psychology, data science just doesn’t exist yet. P-values still rule the day and overfitting is a term they have never heard of.