How home-based AI can reduce health inequities in underserved communities

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10d ago 15:45

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Physician executive Sreeram Mullankandy discusses his article, "Bridging the digital divide: Addressing health inequities through home-based AI solutions." The conversation highlights that while the future of health care delivery is moving into patients' homes, this shift risks leaving the most vulnerable populations behind. Sreeram explains that non-medical factors, or Social Determinants of Health (SDOH), can influence up to 80 percent of health outcomes but are often missed by traditional systems. He argues that artificial intelligence, when deployed thoughtfully, can be a powerful equity enabler. The discussion covers how AI can identify hidden SDOH patterns with high accuracy, bridge language and literacy barriers for the nearly 36 million U.S. adults who need it, and serve as a force multiplier for community health workers. Sreeram also addresses the critical need for fairness audits to prevent AI from perpetuating bias and the massive economic incentive for building a more just system, which could save $1.7 trillion in health care costs.

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