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Integrated continued care as a space for collective action: the strategic actor game in the era of artificial intelligence
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Autores
Soares Pinheiro Vieira Pescada, Susana
Orientador(es)
Resumo(s)
Purpose – This study aims to explore the potential of artificial intelligence (AI) to reshape the governance and operations of the National Integrated Continued Care Network (NICCN) in Alentejo, Portugal. It addresses the dual challenge of population ageing and fragmented coordination between health and social care, assessing how AI-enabled solutions can foster more responsive, efficient and integrated care delivery. Design/methodology/approach – Using the Actors, Objectives, Power Relations Method (MACTOR), the research examines strategic influence and alignment among 27 institutional actors ranging from regional authorities and hospitals to primary care units and third-sector organisations. The study applies an AI-focused lens to assess its transformative role in organisational structures, professional responsibilities and decisionmaking processes within the NICCN. Findings – AI demonstrates clear potential to enhance patient monitoring, enable predictive planning and streamline administrative processes. Nonetheless, implementation is hindered by institutional silos and a high reliance on regional actors. Entities such as Private Social Solidarity Institutions and Continued Care Units are well placed to benefit from AI tools. However, effective deployment demands robust leadership to bridge digital skills gaps, manage workforce transitions and establish collaborative, technologysupported care pathways. Originality/value – By integrating strategic action theory with an AI-informed perspective, this study offers novel insights into the systemic transformation of integrated care governance. It provides practical recommendations for policymakers and health-care managers seeking to promote AI-enabled care models that are socially responsive and future-oriented.
Descrição
Palavras-chave
Integrated continued care (ICC) Strategic action MACTOR method Artificial intelligence Health-care workforce
Contexto Educativo
Citação
Editora
Emerald