Artificial Intelligence in Nursing in Low-income Settings: Readiness Criteria

Abstract

In this paper, we explore required criteria for low-income countries to exploit the potential of AI in nursing. We had dubbed this as “Readiness Criteria”. Generative artificial intelligence tools summarize data into text for expedited information-gathering and content creation. They are gaining use in clinical settings to help nursing staff improve productivity. There are knowledge gaps between experts in AI and nursing professionals. Bridging such gaps, will be the starting point for appropriately applying AI in nursing. As use of AI in nursing becomes prominent, appropriate risk mitigation measures need to be put in place, including, appropriate risk governance frameworks and tools to manage AI driven nursing practices. Most important, low resource settings need to put in place readiness criteria to support them to enjoy the fruits of AI in nursing. Such readiness criteria include having in place data governance frameworks, addressing knowledge gaps, and investing in public data infrastructure.