Good Governance Strategies for Human-Centered AI in Healthcare

Abstract

Many stakeholders are excited about the development and use of artificial intelligence (AI) in healthcare, particularly in contexts where most healthcare systems struggle with human and financial resource shortages. AI could provide professionals with the “gift of time” (Topol, 2019a) to give more compassionate care—and help patients access medical knowledge that permits them to take a more active role in health-related decisions. The average US nurse spends 25% of their work time on regulatory and administrative activities for which AI could partly assist (Davenport & Kalakota, 2019). AI-enabled diagnoses and medical treatments could, in turn, provide substantive health improvements (Topol, 2019a). While many raise understandable concerns about how AI will impact care, market trends suggest health-related AI is here to stay: the global (non-health-specific) AI market is expected to reach a value of USD 1,811 billion by 2030 (Research & Markets, 2023). Well-designed AI could improve the quality and efficiency of healthcare and services and population health (Topol, 2019b); however, one must seek ways to ensure it fulfills its beneficial aims, rather than creating a false sense of value.

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