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An alternative way to throw money at the problem: Instead of trying to further improve accuracy, build out space for more ER beds, and implement continuous monitoring of marginal patients.

Or, build devices to send home with patients which allow for cheap, continuous self-monitoring. That might be a legitimate application of AI actually, if you could use e.g. phone camera tricks to measure more health parameters. Even if imperfect, it could still pick up a few patients who should not have been sent home.



This is mentioned in the article, the fundamental problem is a capacity problem. If patients could be moved out of the ER department to hospital wards then there would be a greater ability for the ER department to monitor patients.


This is because beds are artificially expensive because hospitals deploy maximum-feature bed equipment and services, to avoid malpractice claims, and to increase billing.


There is a (somewhat artificial) middle ground in US hospitals where patients can be admitted for observation but still be considered outpatient.

https://doi.org/10.1001/amajethics.2023.901




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