This chapter aims to explore the adoption patterns of predictive Artificial Intelligence (AI) in the United States (US) and its impact on human-centric knowledge management in sustainable healthcare systems.
The study conducts a conceptual interpretation of 2023-2024 data from the Office of the National Coordinator for Health Information Technology (ONC) hospital survey.
Adoption of predictive AI has increased in US hospitals, from 66% in 2023 to 71% in 2024, as predictive AI becomes more embedded in the healthcare sector. However, large differences still exist between rural and urban hospitals. This study emphasises the growing significance of governance preparedness, ethical supervision, and mixed AI-human decision-making systems in the establishment of sustainable transformation of healthcare.
The proposed Sustainable Hybrid Intelligence Framework for Healthcare is a novel contribution to the field, integrating predictive AI capabilities, governance oversight, organisational learning, and human-centric decision-making into a single analytical framework for sustainable healthcare transformation.
The study focuses on data from the ONC Hospital Survey, which may limit generalisation.
The findings imply that healthcare institutions adopting predictive AI will increasingly require governance-ready organisational structures capable of integrating algorithmic systems with human-centred clinical decision-making. The disparities in institutional readiness may influence the long-term sustainability and equity of predictive AI transformation across healthcare systems.
Anena, J and Hasan, R. (2026): Trends in Predictive AI Adoption and Their Implications for Human-Centric Knowledge Management in Sustainable Healthcare. In Ahmed, A. (Ed.): World Sustainable Development Outlook 2026, Vol. 22, pp. 217-231. WASD: London, United Kingdom.
