Quiet Neglect: Algorithmic Bias in Healthcare Is Hurting Older Adults

Published Date
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Breaking Media, Inc.

This article discusses gaps within data sets that healthcare algorithms use that leave older adults vulnerable to being unseen within the current frameworks and missing out on algorithmic benefits such as risk profiles and early interventions for certain diseases. Methods for closing these gaps are also discussed, including prioritizing and funding robust data foundations and ensuring that the needs of older and marginalized adults are no longer overlooked and underserved.

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 Related Topics

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Data Equity

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Hospitals and Healthcare Institutions

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Older Adults

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Demographic Data

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Disparities in Healthcare