Algorithmic Bias
Driving Health Equity through Community: Confronting Bias in Health Algorithms for Older Adults
FIERCE HEALTH – AI is riddled by bias, especially in healthcare. Just one well-known example is a study from 2019 that revealed racial bias in a clinical algorithm used by hospitals showing that Black patients had to be significantly sicker than white patients to receive the same care. The bias stemmed from training data reflecting historical healthcare spending disparities between Black and white patients. READ FULL STORY
How this Startup Is Using 10 Million Patient Records to Reduce Bias in Healthcare AI
The SCAN Foundation is partnering with Dandelion Health to expand their evaluation of racial and gender bias to be inclusive of age-bias in clinical care algorithms. FORBES – While the Biden administration grapples with how to keep up with the fast-changing technology, Dandelion Health is trying to fill the void with a de-identified dataset for developers to build and test how their algorithms perform. READ FULL STORY
Quiet Neglect: Algorithmic Bias in Healthcare Is Hurting Older Adults
MEDCITY NEWS – Equitable AI isn’t an aspiration; it’s an absolute necessity, particularly for the millions of older Americans who remain unseen within the current frameworks and miss out on algorithmic benefits such as risk