In Fierce Healthcare, The SCAN Foundation’s Vice President of Innovation and Investments Anika Heavener explores how algorithmic bias in healthcare poses an urgent public health challenge.
She points to innovative, community-driven efforts like New York City’s Coalition to End Racism in Clinical Algorithms (CERCA) as models for ensuring more equitable use of AI in care delivery.
She writes, “Research suggests that bias is most frequently introduced during the data ingestion phase of machine learning and when assessing representation and evaluation processes of algorithm development. As a result, these innovations and solutions either neglect older adults or generate inaccurate predictions about them.”
Heavener underscores the need to include older adults in data and design, so health technologies support dignity and fairness across all populations.
Read the article here.