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posted by Fnord666 on Monday October 28 2019, @10:41AM   Printer-friendly
from the at-what-cost? dept.

Submitted via IRC for soylent_green

A health care algorithm affecting millions is biased against black patients

A health care algorithm makes black patients substantially less likely than their white counterparts to receive important medical treatment. The major flaw affects millions of patients, and was just revealed in research published this week in the journal Science.

The study does not name the makers of the algorithm, but Ziad Obermeyer, an acting associate professor at the University of California, Berkeley, who worked on the study says "almost every large health care system" is using it, as well as institutions like insurers. Similar algorithms are produced by several different companies as well. "This is a systematic feature of the way pretty much everyone in the space approaches this problem," he says.

The algorithm is used by health care providers to screen patients for "high-risk care management" intervention. Under this system, patients who have especially complex medical needs are automatically flagged by the algorithm. Once selected, they may receive additional care resources, like more attention from doctors. As the researchers note, the system is widely used around the United States, and for good reason. Extra benefits like dedicated nurses and more primary care appointments are costly for health care providers. The algorithm is used to predict which patients will benefit the most from extra assistance, allowing providers to focus their limited time and resources where they are most needed.

To make that prediction, the algorithm relies on data about how much it costs a care provider to treat a patient. In theory, this could act as a substitute for how sick a patient is. But by studying a dataset of patients, the authors of the Science study show that, because of unequal access to health care, black patients have much less spent on them for treatments than similarly sick white patients. The algorithm doesn't account for this discrepancy, leading to a startlingly large racial bias against treatment for the black patients.


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  • (Score: 0) by Anonymous Coward on Monday October 28 2019, @06:33PM

    by Anonymous Coward on Monday October 28 2019, @06:33PM (#912914)

    The lowest hanging fruit of single thread performance will go up by at least another order of magnitude with clock speed increases and on-chip memory. It will be an expensive lunch, but one we will thoroughly enjoy.

    Quantum, neuromorphic, and other architectures will be used even if only for niche tasks. Neuromorphic also does not have to attempt to simulate a brain or work exactly like a group of neurons, although that is a worthy pursuit that could unlock many benefits.