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If that much data is being collected it's time to start asking what we're looking for within it, and if the rate of collection, retention, and range if inputs is worth it.

Maybe it only makes sense to store sections which deviate in a significant way from a range of error (lossy compression).

Maybe some of those inputs just don't make sense for the questions being asked.

A concrete reasoning for why the data should be kept needs to be presented, and THAT is what should call for the funding to back that need.




Genomic data is basically stored as "diffs" from the reference genome. For humans, that's "some guy from Buffalo", as a UCSC professor put it.


My take was that this was mostly 'telemetry' data from all of the vital signs monitors hooked up to a patient.


Also, the data can be a real toxic asset if it is ever leaked or hacked into. Even with HIPPA not everyone is compliant.




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