Category: Digging Deeper

What it Takes to Use AI Responsibly: Guardrails for Safety-Net, Rural, and Underserved Care

Artificial intelligence (AI) is rapidly entering health care including safety-net, rural, and underserved settings, where access, capacity, and workforce constraints are most acute. Across the literature, AI is described as a tool that can support clinical decision-making, improve outcomes, and expand access. But those same systems also raise concerns about bias, data limitations, and uneven

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How AI Deepens Inequity: Where the Risks Show Up in Practice

Artificial intelligence (AI) is rapidly entering health care including safety-net, rural, and underserved settings, where access, capacity, and workforce constraints are most acute. Across the literature, AI is described as a tool that can support clinical decision-making, improve outcomes, and expand access. But those same systems also raise concerns about bias, data limitations, and uneven

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Where AI Could Help: Filling the Gaps that Safety-Net, Rural, and Underserved Systems Face Every Day

Artificial intelligence (AI) is rapidly entering health care including safety-net, rural, and underserved settings, where access, capacity, and workforce constraints are most acute. Across the literature, AI is described as a tool that can support clinical decision-making, improve outcomes, and expand access. But those same systems also raise concerns about bias, data limitations, and uneven

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AI in Safety-Net, Rural, and Underserved Health Care: Why the Stakes Are Different

Artificial intelligence (AI) is rapidly entering health care including safety-net, rural, and underserved settings, where access, capacity, and workforce constraints are most acute. Across the literature, AI is described as a tool that can support clinical decision-making, improve outcomes, and expand access. But those same systems also raise concerns about bias, data limitations, and uneven

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