Artificial Intelligence and the health workforce: Perspectives from medical associations on AI in health

Margarita Almyranti, Eric Sutherland, Dr. Nachman Ash and Samuel Eiszele

No 28, OECD Artificial Intelligence Papers from OECD Publishing

Abstract: Healthcare has progressed through advancements in medicine, leading to improved global life expectancy. Nevertheless, the sector grapples with increasing challenges such as heightened demand, soaring costs, and an overburdened workforce. Factors contributing to health workforce strain include ageing populations, increasing burden from non-communicable and chronic diseases, healthcare providers’ burnout, and evolving patient expectations. Artificial Intelligence (AI) could potentially transform healthcare by alleviating some of these pressures. But AI in health poses risks to health providers through potential workforce disruption – with changing roles requiring adapted skills with some functions subject to automation. Striking a balance between innovation and safeguards is imperative.

Keywords: Artificial Intelligence; Doctors; Health; Health Data; Innovation; Medical Care; Productivity; Research; Skill Building; Technology; Training; Workforce (search for similar items in EconPapers)
JEL-codes: I1 I10 I15 J21 J24 O33 (search for similar items in EconPapers)
Date: 2024-11-20
New Economics Papers: this item is included in nep-hea and nep-lma
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Persistent link: https://EconPapers.repec.org/RePEc:oec:comaaa:28-en

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