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The US has no idea how to manage all the testing data it’s collecting | MIT Technology Review
"Every state health department reports the number of positive and negative tests. But then disparities arise. States can choose whether or not to slice the numbers up geographically (like by zip code); tally recovered cases and deaths (confirmed and probable); show hospitalizations and factors like ventilator or ICU usage; or include demographic information like patients’ ethnicity, age, sex, and preexisting conditions."
"This mishmash of approaches and standards is causing delays in the US response to the pandemic. Without a uniform, efficient pipeline for aggregating and reporting covid-19 testing data, we lack the up-to-date information that would help focus our efforts, and we must spend unnecessary resources and time reconciling irregularities and disparities in the numbers. Things like contact tracing, surveillance, and resource management for hospitals depend on real-time testing information, but that is hard to get when no one is reporting it in the same way."
I am dissecting an episode of MIT Technology's "Radio Corona", a discussion with Neel Patel, the author of the above article, and Dr. Erich Huang, Associate Dean of Bioinformatics at Duke University, held on May 14.
It appears that we have substantial problems with at least two things:
1. uncoordinated test data collection protocols
2. technologically inferior communication channels
The radio episode is at YouTube
"Every state health department reports the number of positive and negative tests. But then disparities arise. States can choose whether or not to slice the numbers up geographically (like by zip code); tally recovered cases and deaths (confirmed and probable); show hospitalizations and factors like ventilator or ICU usage; or include demographic information like patients’ ethnicity, age, sex, and preexisting conditions."
"This mishmash of approaches and standards is causing delays in the US response to the pandemic. Without a uniform, efficient pipeline for aggregating and reporting covid-19 testing data, we lack the up-to-date information that would help focus our efforts, and we must spend unnecessary resources and time reconciling irregularities and disparities in the numbers. Things like contact tracing, surveillance, and resource management for hospitals depend on real-time testing information, but that is hard to get when no one is reporting it in the same way."
I am dissecting an episode of MIT Technology's "Radio Corona", a discussion with Neel Patel, the author of the above article, and Dr. Erich Huang, Associate Dean of Bioinformatics at Duke University, held on May 14.
It appears that we have substantial problems with at least two things:
1. uncoordinated test data collection protocols
2. technologically inferior communication channels
The radio episode is at YouTube
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